CHAPTER 1.0Platform Overview

BetterShop is a central command hub for marketplace operations, consolidating supplier and seller data into a real-time view of your business. It connects directly to Amazon's SP-API and to TikTok Shop to deliver insight into sales, costs, inventory, tax and advertising.

The Three Workspaces

The platform is organised into three workspaces. The workspace you are in determines which menus appear in the sidebar — this guide is structured the same way.

Shared Modules

Some areas are available regardless of the active workspace, because they describe the organisation rather than a single sales channel:

CHAPTER 1.1Login & Interface

Accessing the Platform

Once you click Login on the BetterShop homepage, you are redirected to the sign-in page:

You can sign in using:

• Credentials provided by the BetterShop team (email + password)
• Google account
• Microsoft account

CHAPTER 1.2Workspace & Navigation

Every page in BetterShop shares the same frame: a top app bar, a collapsible sidebar menu, and the page content. Understanding this frame makes the rest of the platform predictable.

Switching Workspace

The app toggle in the top bar switches between the Seller, Vendor and TikTok workspaces. Switching rebuilds the sidebar: the shared areas stay, and the workspace-specific groups (Reports, Inventory, Orders, Tools, Analytics) are replaced with those of the selected workspace.

Account Selection

Most reports are scoped to one or more accounts. The account selector in the top bar controls which accounts feed the current page. Multi-account selection aggregates the data; the selected accounts are shown as labels next to the selector and persist as you move between pages.

Sidebar Search

The sidebar has its own search box that filters the menu tree by name — the fastest way to reach a page when you know what it is called but not where it sits.

Breadcrumb, Theme and Notifications

CHAPTER 2.1Users Module

The Users Table lists all users with access to BetterShop Analytics. Administrators can assign Roles and Permissions per user, control which accounts and brands each user can view, and enable two-factor authentication.

CHAPTER 2.2Accounts Module

The Accounts Module is where you manage all Amazon accounts connected to your BetterShop workspace. Each account can be a Seller Central, Vendor Central, or Advertising account.

Account Listing Table

The main view shows all connected accounts with the following columns:

Filters

• Search by Account – Filter by name
• Account Type – Seller / Vendor / Advertising
• Management – Ours / Partner / New

Actions (Three-dot Menu)

• Edit – Opens the side panel to update name, region, discount, margin, marketplaces
• Delete – Permanently removes the account

Manual Sync Jobs (Seller Accounts)

Vendor Accounts

• Start Retail Analytics Job – Manual refresh of Retail Analytics
• Subscribe – Enables automatic Vendor data sync

CHAPTER 2.3Client Focus

Client Focus is a planning and margin-monitoring workspace built on top of the accounts you manage. It answers a single question: for each client account, what are we actually earning, and how does that compare with what we forecast?

The Four Views

Seller and Vendor Variants

Client Focus exists in a shared form under General → Accounts, and in workspace-specific forms: Seller → Reports → Client Focus and Vendor → Reports → Client Focus. The workspace variants apply the cost and revenue logic of that channel; the shared variant is used for cross-channel planning.

CHAPTER 2.4Marketplaces

The Marketplaces module lists the Amazon marketplaces available to your organisation and the configuration attached to each one — country, currency and the marketplace identifier used when calling Amazon.

Marketplaces underpin a large part of the platform: product listings are mapped per marketplace, prices and fees are marketplace-specific, and most analytics can be filtered or broken down by marketplace.

CHAPTER 2.5Catalog Module

The Catalog Module is the central area for all product-related information. Many BetterShop features (Buy Box, margin calculations, Page Quality, pricing, inventory) depend directly on the data stored here.

The Catalog contains five subsections:

CHAPTER 2.6Products

The Products section is the core catalog area storing all items for connected Amazon accounts. It feeds margin calculations, Buy Box monitoring, Page Quality, pricing, inventory, and brand mapping.

Product Listing Columns

Brand, Category and Sub Category are mapping fields rather than raw Amazon data: they connect the item to BetterShop's own taxonomy and decide how it is grouped in reports. Ad Hoc is the mapping towards the accounting system. All of them can be corrected in bulk through Actions → Export / Upload instead of row by row.

The Active Flag

Three Ways to Add Products

Editing a Product

The three-dot menu on each row gives access to Edit, Delete, and View Details. The edit panel is structured in three tabs:

• Product Tab – Name, account, brand, SKU, ASIN, cost, category, subcategories
• Tech Information Tab – Co-op recharge, chargebacks, dimensions, weight, for margin simulation and Page Quality
• Expense by Country Tab – VAT, margin, expected revenue, shipping cost, retail price per marketplace

CHAPTER 2.7Product Marketplaces

Product Marketplaces is the mapping layer between a product in your catalog and the marketplaces it is listed on. One catalog product typically has several marketplace entries — one per country — each with its own ASIN, price and status.

What You Use It For

CHAPTER 2.8Campaigns

The Campaigns section manages the link between Amazon Advertising campaigns and brands defined in the Product Catalog. This mapping is critical because it enables brand-level filtering in Amazon Ads → Advertising Overview.

Why Brand Mapping Matters

Bulk Upload Mapping

Daily Synchronization

BetterShop automatically syncs campaigns daily. New campaigns are added automatically. Unmapped campaigns appear under Non Brand in Advertising Overview. First activation fetches the last 6 months of history.

Best Practices

• Use brand names exactly as they appear in the Product Catalog
• Regularly check for unmapped campaigns
• Use Bulk Upload for large-scale updates, manual mapping for individual corrections
• Verify new campaigns after each daily sync
• Also verify the Products table mapping to ensure alignment between Seller/Vendor Analytics and Ads metrics

CHAPTER 2.9Brands

The Brands module is the registry of brands used to group products across the platform. Brand is one of the primary breakdown dimensions: retail analytics, Net PPM, order analytics and advertising reports can all be viewed by brand.

Because brand drives so many reports, products must be attributed to the correct brand in the catalog. Where advertising data uses different brand naming than the catalog, use Ads Brands Mapping to reconcile the two.

CHAPTER 2.10Categories

Categories in BetterShop are user-defined and used for internal reporting, margin evaluations, price analysis, and product segmentation. They are independent of Amazon categories.

Creating a Category

Click Create Category and configure:

• Name – Internal label
• Commissions – Per marketplace: Referral Fee (%) and Minimal Fee (€)

CHAPTER 2.11FBA FeesSeller Only

FBA Fees manage the dimensional categories used to calculate Amazon fulfillment costs. These are essential for margin calculations, profitability analysis, and cost simulations.

Fee Listing Columns

BetterShop automatically matches products to fee tiers based on their dimensions and weight stored in the Product tab. If no matching tier is found, FBA cost cannot be calculated.

How a Product Is Matched to a Tier

1. Dimensional weight is derived from volume, not from the sum of the sides:
   dimensional weight = (longest × median × shortest) ÷ 5000
2. Effective weight is the larger of the two:
   effective weight = max(actual weight, dimensional weight)
3. Size tier is the first tier whose limits the product fits on all four constraints — longest, median and shortest side, and weight. Failing any one of them pushes the product into the next tier up.
4. Fulfilment fee is then read from that tier's bracket for the destination country. Above the top bracket the fee grows with the excess weight rather than stopping at the last published figure.

CHAPTER 3.1Jobs

BetterShop keeps its data current by running scheduled background jobs that pull from Amazon SP-API, TikTok Shop and other connected sources. The Jobs page is where you see what those jobs are doing.

What to Check

Jobs can also be inspected per account from the Accounts module, which opens the job list already filtered to that account.

Bull Board

The Jobs page reports what each job did. Bull Board, alongside it in Monitoring, shows the queues those jobs run on — what is waiting, what is running now and what failed and is being retried. Use the Jobs page for the question "is my data current?", and Bull Board for "is the system actually processing?" — a queue backing up explains a whole set of stale reports at once.

CHAPTER 3.2Category Mappings

Category Mappings transforms Amazon's raw remittance descriptions into structured financial data by defining pattern-matching rules.

Creating a Mapping Rule

CHAPTER 3.3File Upload

Not every input arrives through an API. The File Upload workflow is the controlled way to bring external files — supplier files, cost files, reconciliation exports — into the platform.

The Workflow

Logs Upload Files

Every uploaded file is archived and listed under Logs Upload Files, so you can trace which file produced a given set of records and re-download the original.

CHAPTER 3.4Task History

Task History records the operations the platform has executed on your behalf, so that any change can be traced back to a run.

Each entry records what ran, when, against which account, and with what outcome. Use it to confirm that an action you triggered actually completed, and to establish the sequence of events when a figure changes unexpectedly.

CHAPTER 3.5Alerts & Email Templates

The alerting system turns platform conditions into outbound notifications, so that problems reach people without anyone having to watch a dashboard.

Email Alerts

Defines which conditions raise an alert, who receives it, and how often. Alerts are the mechanism behind the notification bell in the top bar as well as outbound email.

Email Templates

Defines the content and layout of the messages the platform sends. Separating templates from alert rules means the same message design can serve several triggers, and wording can be updated without touching the rules.

CHAPTER 3.6Ticket System

The Ticket System tracks Amazon support cases from inside BetterShop, alongside the data that motivated them. Rather than managing cases in a separate tool, tickets sit next to the invoices, chargebacks and shortages they refer to.

Use it to record the case raised with Amazon, follow its state, and keep the commercial context — the PO, the invoice, the disputed amount — attached to it.

CHAPTER 4.1Market Analysis

Market Analysis looks outward. Where retail analytics measures your own performance, Market Analysis places it against the wider market so you can tell growth from drift.

Views

CHAPTER 4.2Keywords Analysis

Keywords Analysis measures visibility: which keywords matter in your categories, and how much of that space you occupy.

Keywords Analysis

The master keyword list — the tracked keyword set that everything else is measured against.

Products Analysis

The product side of the same question: which of your products rank for the tracked keywords, and how that changes over time.

Share of Voice

From a keyword you can open its Share of Voice view, showing how much of the visible result space you hold for that keyword against competitors. Share of voice is the practical measure of whether SEO and advertising work is moving visibility.

CHAPTER 5.1FBA Shipments

The Shipments module tracks stock movements to Amazon fulfilment centres: what was sent, when, and in what state the shipment is.

Shipments can be created for supported couriers directly from the platform, and shipment records link back to the purchase orders and inventory they relate to.

CHAPTER 5.2Inbound Plans

An inbound plan is Amazon's structured description of a delivery into its network: which items, in what quantities, to which destination. The Inbound Plans module lists existing plans and lets you create new ones.

CHAPTER 6.1Ads Summary

Ads Summary is the per-account recap of advertising performance — the entry point to the advertising area. It aggregates spend and return across accounts so you can see where advertising is working before descending into campaign detail.

CHAPTER 6.2Advertising Overview

The Advertising Overview provides a complete analytical dashboard for monitoring Amazon Ads performance across accounts, profiles, and brands.

Access Path

Amazon Ads → Advertising Overview

Available Filters

• Account Selector – One or more Amazon Ads accounts
• Profile (Marketplace) – IT, ES, FR, UAE, etc.
• Brand Selector – Filter by brand (linked to Campaign mapping)
• Date Range – Auto-compares with previous equivalent period

KPI Summary Cards

Reading the Trend Chart

Campaign Performance by Type

CHAPTER 6.3Search Term

The Search Term page provides metrics based on actual customer queries that triggered ads. It supports analysis by brand type, match type, and individual search terms.

Key Sections

• Brand vs Non-Brand – Spend, revenue, and ACOS split between branded and generic terms
• Match Type – Exact, Phrase, Broad performance comparison
• Search Term is NOT Keyword – Terms generating traffic but not actively targeted (harvest opportunities)
• Search Term Summary – Full granular table with campaign, ad group, and match type context

CHAPTER 6.4Advertising Audit

The Advertising Audit is a suite of five diagnostic views. Each one segments advertising spend along a different axis to expose waste, imbalance or missing coverage that a single blended ACOS figure hides.

Campaign Type Segmentation

Splits performance by campaign type — Sponsored Products, Brands, Display — so you can see which formats carry the account and which are underperforming for their share of budget.

Branded vs Non-branded Segmentation

Separates spend on your own brand terms from spend on generic terms. Branded traffic converts well and flatters blended ACOS; separating it reveals the true cost of acquiring new customers.

Match Type Segmentation

Breaks performance down by keyword match type — exact, phrase, broad — showing whether budget is concentrated in controlled, high-intent matching or leaking through broad matching.

Gaps in Keyword Match Type

Finds keywords that are running in one match type but missing in another, so that proven terms are not left without exact-match coverage.

Gaps in Spend Across ASIN

Finds products with uneven advertising coverage — ASINs absorbing spend without return, and ASINs with sales potential receiving none.

CHAPTER 6.5Ads Brands Mapping

Advertising data does not always use the same brand naming as your catalog. Ads Brands Mapping reconciles the two, so advertising spend can be attributed to the right catalog brand.

CHAPTER 7.1AI Analytics

AI Analytics is a conversational assistant that answers questions about your own data. Instead of locating the right report and filtering it, you describe what you want to know and the assistant queries the platform for you.

How a Conversation Works

Sessions, Files and Feedback

Agents and Specialists

You are not talking to one model. The assistant is a team: a manager agent receives your question and either answers it or hands it to the specialist that owns that part of the business. Each specialist is restricted to the data and tables of its own domain, which is what keeps answers grounded rather than plausible.

Plan Mode

For anything beyond a single lookup, the agent first writes an execution plan — a short checklist of the steps it intends to take — and works through it in view, marking each step as it completes. The plan is the reason a long analysis stays auditable: you can see which question is being answered at each step rather than waiting for a block of text.

Some steps pause for you. Where a choice would change the result — a date range, which accounts to include, which of two readings of the question is meant — the agent stops and asks before continuing rather than picking for you.

Access and Credits

Which agents you can reach depends on your role and on the workspace you are in. A user without advertising permissions does not get the Ads Specialist, and vendor specialists do not appear in a Seller-only account. If an agent you expect is missing, it is a permissions question, not a fault.

Credits are counted per user, not per organisation, and every conversation draws on the balance of the person having it. Administrators can review consumption per user from that user's record, which is the place to look when a balance runs down faster than expected.

CHAPTER 7.2Knowledge Base

The Knowledge Base is what AI Analytics knows beyond the raw tables. It has two parts.

Documents

Uploaded documents give the assistant business context that is not present in the database — internal definitions, commercial rules, process notes. Documents are listed with their upload state so you can confirm what the assistant is actually working from.

SQL Examples

Curated example queries teach the assistant how questions in your business map onto the data model. Well-chosen examples are the most effective way to improve answer quality for recurring question types. Queries are restricted to an allow-list of tables.

CHAPTER 7.3AI Control

AI Control is the oversight view for the AI assistant: a dashboard of the feedback users have left on its answers.

Filtering to low ratings and reading the comments is the fastest route to finding where the assistant is failing — and those cases are the input for improving the Knowledge Base.

Per-User Consumption

Feedback is one half of oversight; cost is the other. Each user record carries an AI dashboard showing that user's credit balance, what has been consumed and the cost behind it. Read together with the ratings here, it answers the two questions that matter: whether the assistant is being useful, and what it is costing to be useful.

CHAPTER 8.1Seller AdministrationSELLER

Seller Administration is the settlement workflow: the process that turns Amazon's raw settlement data into a reconciled financial position you can report on.

Admin Manager

The working view. It drives the settlement workflow — selecting the period, running reconciliation, and resolving items that do not balance. This is where the work happens.

Admin Report

The output view. Once a period has been processed in Admin Manager, the report presents the settled result for review and export.

CHAPTER 8.2FBA ReimbursementsSELLER

When Amazon loses or damages inventory inside its network, it owes a reimbursement. This module tracks those cases: what is owed, what has been reimbursed, and what remains open.

Reimbursements are easy to lose track of because they arrive separately from ordinary settlement lines. Reviewing this module on a regular cycle is what turns an entitlement into recovered money.

CHAPTER 8.3Client FocusSELLER

The seller-side view of Client Focus. It applies seller economics — Amazon fees, FBA costs, advertising and returns — to produce the margin position per client account on the Seller channel.

CHAPTER 8.4Brand PerformanceSELLER

Brand Performance is a daily-metrics dashboard for the Seller channel, tracking how each brand performs over time rather than as a period total.

Because it is daily, it is the right place to see the shape of a change — whether a drop is a single bad day, a step change after a price or listing change, or a gradual slide.

CHAPTER 8.5Seller Tax ReportSeller Only

An API-generated fiscal report extracted directly from Amazon, used for tax validation, VAT reconciliation, accounting audits, and regulatory compliance.

Access: Seller Panel → Reports → Tax → Report

Data Tabs

The report is organized into tabs representing different fiscal views of each transaction: Account Details, Transaction Info, Product Info, Net Amounts, VAT Info, Gross Amounts, Shipping Info, Tax Registration, Invoice Info, Supplier Information.

Shipping Info – Privacy Notice

CHAPTER 8.6Invoices Listing

Detailed list of all fiscal invoices for the selected month, organized via quick-filter tabs:

CHAPTER 8.7Receipts, Local VAT & OSS VAT

Receipts

• Regular – Daily receipts per VAT rate (e.g., Italy 22%, 10%, 4%). One row per day with per-rate totals.
• Union OSS – One Stop Shop transactions. One row per day per OSS jurisdiction with Gross, Net, and VAT.

Local VAT

Cards per country (UK, IT, FR, ES, DE…) showing B2C and B2B rows split by VAT rate — Net, Gross, and VAT per rate, with a country total. Used by tax advisors for local VAT returns.

OSS VAT

Cards per OSS country with VAT rates, Net, Gross, and VAT to be paid via OSS. The bridge between Amazon transactions and your quarterly OSS return.

Transfers

Shows inbound/outbound stock movements between FBA countries. Only available after the full monthly Amazon report download. During the month, the tab shows "No Data Found" — this is expected.

CHAPTER 8.8Transfer ReportSELLER

The Transfer Report covers stock movements between marketplaces and fulfilment countries. Cross-border transfers are a VAT event even though no sale occurs, so they must be reported separately from sales.

CHAPTER 8.9Settlement

Collects and normalizes all Amazon payment remittances for the Seller account. Settlement data bridges Amazon operational transactions with actual cash movements.

Transactions are grouped into macro categories: Gross Sales Revenue, Sales Taxes, Amazon Commissions and Fees, Adjustments, FBA Reimbursements, Customer Returns/Refunds, Third-Party VAT, Promotions, and more.

CHAPTER 8.10Profit & Loss

Restructures Amazon settlement data into a financial statement view — macro financial groups, monthly comparisons, and clear profitability indicators.

Macro Categories

Every macro category can be expanded to reveal micro-level transaction types, and clicking any micro line opens a right-side drawer with full SKU-level transaction detail, search, and export.

CHAPTER 8.11Finances HistorySELLER

Finances History is the archive of financial events retrieved from Amazon over time. Where Settlement and Profit & Loss present a processed position for a period, Finances History keeps the underlying record.

Use it to trace a figure back to its source events, or to investigate a discrepancy between two periods.

CHAPTER 8.12Workflow & Report Export

The Workflow mode generates the Settlement Report as an Excel file (rather than on-screen table) using the same data, calculations, and filters.

Generated Excel Sections

• Orders Report – All order transactions with full column set
• Refunds Report – Refund transactions mirroring the Orders structure
• Invoicing / Billing Report – Pivot by product and country: quantities, net revenue, average price
• Credit Notes Report – Aggregated credit-related movements

CHAPTER 8.13Inventory Dashboard & OverviewSELLER

Two summary views sit above the detailed inventory listing.

Dashboard

The headline inventory position — stock value, coverage, and the items that need attention now.

Overview

A broader breakdown across products and marketplaces, used to understand distribution of stock rather than individual items.

CHAPTER 8.14Seller InventorySeller Only

The Inventory module is built on Amazon Inventory Ledger data. Each row represents a daily snapshot of a specific SKU in a specific Amazon warehouse with a specific disposition (SELLABLE, DEFECTIVE, etc.).

Key Balance Columns

CHAPTER 8.15Reorders

The operational replenishment table consolidating sales velocity, stock levels, in-transit quantities, open reorders, and replenishment suggestions into one view.

Color Code

• 🟧 Orange columns – Units leaving (shipped to customers)
• ⬜ Grey columns – Stock on hand
• 🟩 Green columns – Units entering (POs, returns)
• 🟨 Yellow columns – Calculated indicators (totals, averages, coverage)

Recommendation Logic

The system calculates average sales velocity over 7/14/30/60 days, compares with current stock + transit + open reorders, and outputs a suggested reorder quantity per country. Positive values = reorder suggested; Negative/zero = no reorder needed.

The Calculation, Step by Step

The suggestion is computed per SKU per location, in three steps:

1. Average daily consumption — each of the four windows is converted to a daily rate and the four rates are averaged with equal weight:
   (units₇ ÷ 7 + units₁₄ ÷ 14 + units₃₀ ÷ 30 + units₆₀ ÷ 60) ÷ 4
2. Demand horizon — that daily rate is projected over a fixed 45-day window:
   demand = average daily consumption × 45
3. Net requirement — what you already have or have ordered is subtracted:
   suggestion = demand − open reorders − stock on hand

CHAPTER 8.16Warehouse Check

Reconciles Amazon inventory accounting data over a selected time range. Cross-checks inventory data against Orders and Refunds from Settlement reports.

The Check Total column validates: Calculated End Stock vs Amazon End Stock. If they match → reconciliation is correct. If not → discrepancy detected.

CHAPTER 8.17ShipmentSELLER

The seller shipment view tracks outbound consignments on the Seller channel — what has been dispatched, to which destination, and in what state.

CHAPTER 8.18Inventory & Reordering HistorySELLER

Two historical records support the inventory modules.

Together they answer the retrospective questions: was this stock-out predictable, and did the last reorder cover the demand it was meant to.

CHAPTER 8.19Warehouse MovementsSELLER

Warehouse Movements exports stock movements in the format required by the Zucchetti accounting system, bridging marketplace operations and the accounting ledger.

CHAPTER 8.20Seller Orders (FBM)Seller

Centralizes Amazon Seller FBM orders. Used internally to manage shipping workflows via:

• Asendia app (MyLogsolution) – via Excel upload
• Amazon carrier – sending order info directly to supplier

Each order row shows: Amazon Order ID, Address, Marketplace, Items Shipped, Is Edited, Sent to Supplier, Tracking ID, Total Amount. The Shipments modal shows shipment status, carrier, shipping service, tracking, and packing slip options.

CHAPTER 8.21Buy Box – SellerSeller

Seller Buy Box Logic: Buy Box is WON only if won by the Seller Account's own Seller ID. Amazon winning = LOST for Seller analysis.

The 30-day history chart shows daily Buy Box price with Seller ID resolved to Store Name. Clicking the Seller counter opens an offer comparison panel showing price, shipping, fulfillment type (FBA/MFN), and Prime eligibility.

CHAPTER 8.22Listing Management & AI Optimization

Listing Management is the workspace for the content of your product pages — titles, bullets, descriptions and attributes — across the catalog.

AI Listing Optimization

The AI-assisted counterpart. It proposes improved listing content for a product, which you review before anything is applied. The intent is to remove the blank page, not to publish unreviewed text.

The AI Listing Optimization Workspace

AI Listing Optimization is its own page in the menu, separate from Listing Management. It is organised as five tabs that follow the life of a listing from source content to approved copy.

The Workflow

Keyword Groups

Keywords are assigned to three groups, each with a maximum number of entries. The limits keep the generated copy focused instead of stuffing every keyword into the title.

CHAPTER 8.23Block ProductsVendor

Displays listing/offer issues (blocked listings) extracted from Amazon for Vendor accounts.

Setup Requirements

The Reason field is the key operational element — it explains exactly why an offer/listing is blocked (e.g., profitability reasons, multipack requirements).

CHAPTER 8.24Page Quality

Checks product page content against expected content, focusing on title length, bullet point character limits, and completeness. Navigate via Tools → Quality → Page Quality.

Workflow

Also Available Under Quality

• Page Variations – Upload Parent ASINs to count and inspect child ASIN variations
• A+ Content – Check A+ Content availability and images per product
• Reviews – Historical review and rating counts

CHAPTER 8.25Page Variations

Page Variations inspects how product variation families — size, colour, format — are structured on Amazon.

Variation structure has direct commercial consequence: a correctly grouped family concentrates reviews and traffic on one page, while a broken family splits them across weaker listings. This view exposes products whose variation relationships are incomplete or wrong.

CHAPTER 8.26A+ Content

A+ Content tracks the enhanced brand content applied to product pages — which products have it, and which are still relying on the basic listing.

Because A+ Content affects conversion, the coverage gap it exposes is a direct list of pages worth improving.

CHAPTER 8.27Product Reviews

The Reviews module collects customer reviews across your catalog so that rating movement can be monitored centrally rather than page by page.

Reviews are an early indicator: a falling rating usually precedes a fall in conversion and Buy Box share, and negative review themes frequently identify a listing or quality problem before it appears in returns data.

CHAPTER 8.28Pricing Analytics – SellerSeller

Similar structure to Vendor Pricing Analytics but uses Seller-specific data sources: FBA fee tiers from Catalog, Amazon referral fees from Categories, and Catalog-defined costs.

The Price Optimization action calculates the minimum consumer price to cover product cost + Amazon fees + FBA fees + VAT + target margin. Results are displayed without overwriting existing data.

How Gross Profit Is Built

Every row derives from the consumer price. The order of operations matters, because VAT is removed before costs and fees are subtracted:

1. Net the price of VAT — the consumer price is divided by (1 + VAT rate), giving the amount you actually receive.
2. Fees on the gross price — the Amazon referral fee and the BetterShop fee are each a percentage of the consumer price, not the net one, and the FBA fee is added as a fixed amount:
   total fees = consumer price × referral % + consumer price × BS % + FBA fee
3. Gross profit — product cost and those fees come off the VAT-free amount:
   gross profit = (consumer price ÷ (1 + VAT)) − product cost − total fees

Pricing Analytics V2

A second, newer entry sits beside this one in the menu. It works on the same pricing model and the same cost inputs, but rebuilds the table on the current grid — faster filtering and sorting on large catalogs, and column settings that persist. Both are available while the rewrite is completed; where the two disagree on a figure, the underlying product cost configuration is the thing to check.

CHAPTER 8.29ReturnsSELLER

The Returns area covers what came back and why, across three views.

Return rate alone only signals that something is wrong. Reasons tell you what: a sizing problem, a misleading listing, a packaging failure or a quality defect each imply a different fix.

CHAPTER 8.30Performance ViewSELLER

Performance View is the current generation of seller performance reporting. The same performance model is presented through four lenses, so a result can be traced from the aggregate down to the item.

CHAPTER 8.31Retail AnalyticsSELLER

Retail Analytics is the seller sell-out reporting suite: what actually sold, broken down along the dimensions of your business.

CHAPTER 9.1Vendor ReportsVendor Only

The Vendor Reports menu is the administrative and financial core for Vendor Central accounts. It includes:

CHAPTER 9.2Administration – Purchase Order Reconciliation

The Administration page consolidates all Purchase Orders and calculates the actual net margin after accounting for discounts, COOP, chargebacks, accepted quantities, and shipping costs.

PO Table Columns

Monthly Margin Summary Chart

Below the PO table, a summary chart shows month-by-month profitability with:

• Margin (purple bars) – Gross margin before shipping costs
• Net Margin (green bars) – Effective profit after shipment costs
• Discount Price (light purple) – Discounted invoice amount after co-op
• Shipment Cost (negative bars) – Monthly shipping expenses
• Margin % (line) – Profitability ratio on right axis

Hover over any bar to see a tooltip with complete monthly values. Use the Year Selector (top-right) to switch financial years.

CHAPTER 9.3Client FocusVENDOR

The vendor-side view of Client Focus, applying vendor economics — purchase order prices, allowances, chargebacks and COOP contributions — to produce the margin position per account on the Vendor channel.

CHAPTER 9.4Invoice DashboardVENDOR

The Invoice Dashboard is the summary layer above the invoicing detail: total invoiced, total paid, and the outstanding discrepancy across the account.

It exists to answer the first question — how much is unreconciled overall — before you descend into Invoicing to work through individual invoices.

CHAPTER 9.5Invoicing Module

The Invoicing module is the core workspace for monitoring issued invoices, reconciling Amazon payments, identifying discrepancies, and determining which open invoices require accounting action.

Invoice Table Key Columns

How Amazon Payment Cycles Work

CHAPTER 9.6Payment Cycle

The Payment Cycle provides the most detailed view of how Amazon manages each invoice's payment lifecycle — initial payment, retentions, shortage claims (SC/SCR), adjustments, and final settlement.

Use the search bar to isolate a specific invoice, then expand the row to see the full historical payment breakdown including each SC/SCR event with its amount, description, and date.

CHAPTER 9.7Recap Costi Extra

Provides a monthly summary of all cost categories extracted from Amazon payment remittances, organized by cost type and month for the full year.

Cost Categories

Chargeback, Invoice, Return, C2FO, Provision, Audit, Coop, PQD, PQV, PPV, DFP/Advertising, AVS, Uncategorized — each shown with monthly totals and a year total.

Used for monthly closure, variance analysis, deduction trend monitoring, and identifying unusual cost peaks.

CHAPTER 9.8Remittance

Remittance exposes every payment event processed by Amazon — the raw remittance rows from which all upstream dashboards and reconciliation tools are built. It is the foundation layer of the entire Vendor reconciliation system.

Key Columns

Remittance feeds all other Vendor modules: Invoicing (shortage/correction detection), Payment Cycle (SC/SCR events), and Recap Costi Extra (monthly category totals).

CHAPTER 9.9Return Remittance Payment Cycle

A dedicated version of the Payment Cycle, pre-filtered exclusively for VRET (Vendor Return) lines. It shows which VRET invoices were generated, how they were paid, and in which payment cycle they were settled.

Clicking the expand arrow on each row opens a detail panel with: Invoice Number, Total Invoice Amount, Total Amount Paid, and a full payment breakdown with dates and net paid amounts.

CHAPTER 9.10Return SummaryVENDOR

Return Summary aggregates returns on the Vendor channel, giving the volume and value of returned goods behind the return remittance figures.

CHAPTER 9.11Payment Recap

The Payment Recap shows a summary of every Amazon Vendor payment — total amount paid, payment date, currency, and type (EFT). Each row represents one Amazon payment number.

To understand what makes up a payment total, copy the Payment Number and search for it in Remittance Listing to see the full invoice-level breakdown.

CHAPTER 9.12Disputes & Disputed PO

Disputes

The Disputes module tracks all Amazon Vendor disputes (Vendor Returns, Shortage Claims, Invoice disputes). Each row shows Dispute ID, Type, Status (Open/Closed), Total Dispute Amount, and Approved Amount.

Disputed PO

Links disputes to their associated Purchase Orders, creating a complete chain: PO → Invoice → Dispute → Outcome. Shows which PO lines are referenced, how much was disputed, and how much was approved.

CHAPTER 9.13Disputed POVENDOR

Disputed PO narrows the dispute process to the purchase-order line level: which products within a PO are contested, in what quantity and value.

Amazon resolves shortage claims per line, so a dispute is only actionable when it is expressed at this granularity.

CHAPTER 9.14Chargeback Dashboard

Provides a complete visual overview of all chargeback-related financial activity from Amazon Vendor Central.

KPI Strip

Common Issue Types

ASN Accuracy, PO On-Time Accuracy, Carton Information Compliance, Carton Content Accuracy, Labeling Accuracy, Packaging Accuracy, Delivery Appointment Issues

Total Calculation Rule

CHAPTER 9.15Chargeback Detail ViewsVENDOR

Beyond the chargeback dashboard, four views break the same chargeback data down for investigation and for building a claim.

CHAPTER 9.16COOP Module

The COOP module centralizes all Cooperative Marketing data from Amazon Vendor Central, enhancing it with VAT logic, agreement classification (ORDINARY vs DEAL), and full audit capabilities.

COOP Navigation Path

Vendor → Reports → COOP → Dashboard / Invoices / Agreement / Agreement PO / Remittance

COOP Workflow (Step by Step)

COOP Invoice Key Columns

CHAPTER 9.17COOP ViewsVENDOR

The COOP module is organised into six views covering the agreement lifecycle.

COOP submissions are sent from Send Document.

CHAPTER 9.18Account SummaryVENDOR

Account Summary rolls the vendor financial picture up to account level, in two complementary views.

This is the reporting layer for the vendor business: the level at which performance is discussed with Amazon and internally.

CHAPTER 9.19Vendor Orders (Purchase Orders)Vendor

Displays all Amazon Vendor purchase orders. Access via Vendor → Orders → Purchase Orders.

PO Table Columns

Purchase order number, state, date, state change date, type, vendor code, fulfillment center, delivery window start/end, ordered/accepted/rejected/received quantities, net cost amount, ordered/accepted revenue.

PO Synchronization

Purchase orders sync automatically every day. Click SYNCHRONIZE for a manual refresh. First load retrieves 6 months of PO history.

Available Exports

• Export All (Excel / CSV)
• Export To Ship (Excel / CSV) – Internal operational export

CHAPTER 9.20PO ManagerVENDOR

PO Manager is the operational workspace for purchase orders — the place where a PO is confirmed, prepared and dispatched, as opposed to the PO List which simply shows them.

CHAPTER 9.21PO Invoice, History & JSON ViewerVENDOR

Three supporting views around purchase-order invoicing.

CHAPTER 9.22Send Document & Submit COOPVENDOR

Send Document is the outbound channel to Amazon: the module used to submit documents, including COOP submissions, from within the platform.

Submit COOP is the dedicated flow for COOP agreement submissions, working alongside the COOP module.

CHAPTER 9.23Buy Box – VendorVendor

Monitors Buy Box ownership at ASIN level for Vendor accounts. Data is refreshed daily (~24-hour intervals).

Vendor Buy Box Logic: If Amazon is the Buy Box winner → Buy Box is considered WON.

Key Metrics

CHAPTER 9.24Listing IssuesVENDOR

The vendor view of listing issues: products that are blocked, suppressed or otherwise unable to sell on Vendor Central.

The mechanics mirror the seller equivalent described in Listing Issues, applied to the vendor catalog. Any product listed here is generating no revenue while the issue persists, which makes it the highest-value list to clear.

CHAPTER 9.25Pricing Analytics – VendorVendor

Provides a line-by-line cost and pricing breakdown. Key calculated columns:

• Dimensional Weight = (Longest × Median × Shortest Side) ÷ 5000 kg
• Net Cost Amount = (Product Cost + Chargeback + Fee BS + Shipping + Logistic Prep) × (1 + COOP Markup)
• Net Selling Price = Net Cost Amount + Amazon Markup
• Gross Selling Price = Net Selling Price × VAT
• Amazon Margin % = Amazon Margin ÷ Net Selling Price

CHAPTER 9.26Vendor Inventory – ForecastingVendor

Provides a monthly inventory coverage and reorder validation view. BetterShop calculates total shipped units, available inventory, open PO units, and customer returns to derive a 1-Month Stock Target Coverage.

Color Code

• 🟧 Orange – Units leaving the warehouse (monthly shipped)
• ⬜ Grey – Stock on hand
• 🟩 Green – Incoming units (open POs, customer returns)
• 🟨 Yellow – Calculated aggregates (Net Consumption, Stock Target)

CHAPTER 9.27Forecast VendorVENDOR

Forecast Vendor projects expected demand on the Vendor channel, complementing the replenishment view: replenishment addresses what to send now, the forecast addresses what will be needed.

Mean, P70, P80, P90

Every ASIN and period carries four figures. They are not alternative estimates of the same thing — they are the same distribution read at different confidence levels:

Planning to the mean means being short roughly half the time. Planning to P90 means holding stock that is usually not needed. The percentile you choose is a stock-out versus overstock decision, not a forecasting one.

Choosing the Model in Replenishment

The choice is not confined to this page. Replenishment takes a forecast model — MEAN, P70, P80 or P90 — and the selected one becomes the demand input to its suggestions, aggregated per product and month. Switching the model changes the replenishment figures across the board, which is why two people comparing numbers should confirm they are on the same model before assuming a discrepancy.

Generation Date vs Period

Each row records both the period it covers (start and end date) and the date Amazon generated it. These are independent: the same future week can be forecast repeatedly as it approaches, and the estimate typically moves. A record is keyed on account, marketplace, ASIN and period — so a fresh retrieval for a period already held replaces it rather than accumulating alongside it, and the page always reflects Amazon's latest view.

CHAPTER 9.28Vendor Analytics – Performance ViewVendor

The main Vendor dashboard providing a Year-over-Year comparison of all key Vendor metrics: sell-in, sell-out, traffic, inventory, advertising, and profitability.

KPI Groups

CHAPTER 9.29Sell In (Order Analytics)VENDOR

Sell In is what Amazon buys from you — purchase order demand. It is the vendor equivalent of your own sales, and the basis of vendor revenue.

CHAPTER 9.30Sell Out (Retail Analytics)VENDOR

Sell Out is what Amazon sells to end customers — consumer demand for your products. It is the leading indicator for future sell-in.

Retail Analytics Distribution View

A complementary set of views — Products, Accounts and Brands — presenting the same retail data from a distribution perspective, used to check how sales spread across the network rather than their total.

CHAPTER 9.31Net PPMVENDOR

Net PPM (Pure Product Margin) is Amazon's measure of the profitability of your products to Amazon itself. It drives how Amazon treats your range: products with weak Net PPM attract pressure on price, reduced ordering, or delisting.

Views

Net PPM Distribution View

A parallel set of Account, Brand and Product views presenting Net PPM from a distribution perspective.

CHAPTER 9.32Vendor Order Analytics

Analyzes sell-in data (brand → Amazon), not final customer sales. Access via Vendor → Analytics.

Dashboard Charts

• Ordered Quantity & Turnover – Volume and revenue trend
• Accepted Quantity & Turnover – What was actually accepted
• Ordered vs Accepted Comparison – Gap identification with acceptance rate %

Products Table – Orders vs Turnover Toggle

The toggle switches between Quantities (Orders view: Ordered Qty, Accepted Qty, Net Cost) and Monetary Values (Turnover view: Ordered €, Accepted €, Net Cost). The table structure stays the same — only the meaning of the values changes.

CHAPTER 10.1TikTok Shop OverviewTIKTOK

TikTok Shop is the third workspace in BetterShop. Selecting it in the app switcher replaces the Amazon-specific menus with TikTok's own orders, finance and analytics modules.

What Is Different

TikTok Shop is a content-driven marketplace: sales originate from videos and live streams rather than from search. The analytics reflect that — alongside the usual commercial metrics you will find engagement, viewership and creator performance, because on TikTok they are the demand drivers.

CHAPTER 10.2TikTok OrdersTIKTOK

The order listing for TikTok Shop: orders received, their status and their value. It is the operational counterpart to the settlement reports, which describe what was actually paid out.

CHAPTER 10.3Settlement & StatementsTIKTOK

Three views cover the money side of TikTok Shop, from raw statement to derived profitability.

Statements

The statements TikTok issues — the source record of amounts due and paid.

Settlement Reports

The processed settlement view: what was settled for a period, and the deductions applied to reach the net figure.

Profit & Loss

The profitability result for the TikTok channel, taking settled revenue against product and channel costs.

CHAPTER 10.4Finance HistoryTIKTOK

Finance History is the archive of TikTok financial events over time — the record behind the settlement views, used to trace a figure to its origin or investigate a period-to-period discrepancy.

CHAPTER 10.5Shop PerformanceTIKTOK

The Shop Performance overview is the headline view of the TikTok channel, presented as KPI cards with a GMV breakdown and trend charts.

KPI Cards

GMV Breakdown

A breakdown of where GMV originates, which on TikTok is the key structural question: how much of the channel is carried by video, by live, and by the product pages themselves.

CHAPTER 10.6Content AnalyticsTIKTOK

Content Analytics measures the content that generates sales, in two views.

Video Performance

Performance of individual videos, combining commercial and engagement metrics: Sales, Orders, Items Sold, Customers, Views, Likes, Comments, Shares, New Followers, Product Impressions, Product Clicks, Engagement, CTR and CVR. Videos are listed with their creator, hashtags, post time and duration.

LIVE Performance

Performance of live streams, with metrics specific to live selling: Sales GMV, Live 24h GMV, Avg Price, Click To Order Rate, Products Added, Different Products Sold, Created SKU Orders, SKU Orders, Items Sold, Customers, Views, ACU and PCU (average and peak concurrent users), Viewers and Avg Viewing Duration.

CHAPTER 10.7Inventory & SalesTIKTOK

Two views connect demand to available stock.

Product Detail

SKU Performance

The same picture at SKU level — Product, GMV, Orders, Units Sold, Available Stock and Committed — which is the level at which stock decisions are actually made.

CHAPTER 10.8Customer InsightsTIKTOK

Customer Insights describes who is buying: age demographics, gender distribution and geographic distribution, presented as donut charts and a map.

On a content-driven channel this closes the loop — it shows whether the audience your content attracts is the audience that actually converts, and where to concentrate creator and campaign effort.