Multi-Marketplace E-Commerce Operating System

Nine Dashboards, Zero Unified Visibility

Every marketplace has its own seller portal: Amazon Seller Central, eBay Seller Hub, Otto Seller Portal, Bol.com Seller Dashboard, and so on. Dom Ventas' team had to log into nine separate systems every day to understand their business.

There was no single place to answer basic questions like:

• •“How did we perform across all channels today?”
• •“Which products are profitable and which are losing money?”
• •“Where is our inventory running low?”

Business decisions were made with stale, incomplete data — cobbled together from spreadsheets that took hours to compile and were outdated by the time they were finished.

Manual Payment Reconciliation Was Eating 15+ Hours Per Week

Every marketplace pays differently. Amazon sends settlement reports with line-item detail — but a single order with multiple items, returns, and partial refunds creates 5–10 separate financial transactions. Multiply that across nine marketplaces, each with different fee structures.

The finance team was manually matching payments to orders in spreadsheets. They couldn't answer confidently: “Are we being paid correctly?” Discrepancies went unnoticed for weeks.

Inventory Was Always Out of Sync

Dom Ventas operates multiple warehouses feeding multiple marketplaces. The problem: stock levels updated at different speeds across different platforms.

• Overselling: A product sells out on Amazon but still shows available on Otto — customer orders, can't fulfill, negative seller rating.
• Deadstock: Products sitting in one warehouse while another marketplace has demand but shows out-of-stock.
• No coverage visibility: Nobody could answer "How many days of stock do we have for Product X across all channels?"

Advertising Spend Was a Black Hole

Dom Ventas runs ad campaigns across Amazon (Sponsored Products, Sponsored Brands, Sponsored Display), Otto, and Noon — each with separate campaign management interfaces.

• •No unified ROAS view — can't compare ad efficiency across platforms
• •Thousands of keywords and targets across campaigns — impossible to optimize manually
• •ACOS drift — Ad Cost of Sales creeping above profitable thresholds without anyone noticing until the monthly review
• •Wasted spend on irrelevant search terms — no systematic negative keyword management
• •No connection between ad performance and product profitability

Operational Issues Piled Up Faster Than Humans Could Detect Them

With thousands of SKUs across 9 marketplaces, problems compound silently:

Dom Ventas' team was in reactive mode — discovering problems only after they'd already caused damage. There was no systematic way to detect, categorize, prioritize, and resolve issues proactively.

No Product-Level Intelligence

Dom Ventas couldn't answer critical questions about their most important products:

• •“What's the real margin on this SKU after marketplace fees, shipping, returns, and ad spend?”
• •“Are we winning the Buy Box? How often? What's the trend?”
• •“How does this product perform on Amazon vs. Otto vs. Bol?”
• •“Is our catalog listing quality good enough to compete?”
• •“What's the return rate, and how much is it costing us?”

Each answer required pulling data from multiple systems, converting currencies, and doing manual calculations. For thousands of SKUs, this was simply impossible.

Cost Data Was Scattered and Unreliable

A single SKU can have different costs depending on:

• •Which warehouse it's stored in (fulfillment costs differ)
• •Which currency the marketplace operates in (EUR, USD, TRY, AED, AUD)
• •Which vendor supplies it (same product, different suppliers at different prices)
• •When it was purchased (cost validity periods change over time)

Without accurate, time-specific cost data per warehouse and currency, every profitability calculation was wrong.

Unified Dashboard & Channel Reports

A single interface showing performance across all 9 marketplaces — sales, orders, revenue, returns, ad performance — with drill-down from channel level to marketplace level to individual SKU level.

Channel reports include competitive ranking, monthly run rate forecasting, and trend analysis so leadership can spot opportunities and problems without touching a spreadsheet.

Automated Payment Reconciliation

The system ingests settlement data from all marketplaces and matches every payment to the corresponding order — at the individual line-item level.

Discrepancies are flagged automatically. No more spreadsheet matching. No more missed discrepancies.

360° Focused SKU Analysis

For high-priority products, the platform provides deep intelligence across 7 dimensions:

The system runs weekly comprehensive analysis with daily cost/price updates and 6-hour Buy Box tracking on focused products. When any dimension crosses a threshold — margin below 15%, Buy Box win rate below 25%, stock coverage under 60 days — a ticket is automatically created.

Rule-Based Marketing Automation

Instead of manually managing thousands of ad keywords and bid adjustments, we built a rules engine that evaluates performance data and takes automated action:

1. 1Define rules — "If ACOS > 25% AND spend > €50 AND conversions = 0, then pause target"
2. 2System evaluates — Continuously checks live advertising data against all active rules
3. 3Action proposed — Matched rules generate action recommendations
4. 4Human approval — Critical actions require team approval before execution
5. 5Outcome tracked — The system measures whether the action improved performance

The engine supports sophisticated bid formulas, conflict resolution when multiple rules match the same target, and safety constraints (minimum bids, maximum changes per cycle).

Inventory Management & Sync

A unified inventory view across all warehouses and marketplaces with real-time stock level tracking, stock coverage calculation (days of inventory remaining based on sales velocity), bulk inventory upload with validation, aging analysis, and automatic alerts when stock drops below safety thresholds.

Shipment Management & DHL Integration

For European marketplaces, particularly Otto, we built DHL shipping label generation directly from the platform, shipment tracking with status sync back to the marketplace, fulfillment SLA monitoring with automatic alerts for unshipped orders, and direct fulfillment order management for Amazon DF orders.

Multi-Dimensional Cost Management

The platform tracks accurate costs per SKU per warehouse per currency per time period, accounting for purchase cost, shipping cost, vendor VAT rate, additional costs (insurance, customs), and cost validity periods. This makes every margin calculation accurate to the cent — something that was impossible with spreadsheets.

Operations Ticketing System

21 automated ticket types covering every category of e-commerce operational issue:

Each ticket includes full context: which SKU, which marketplace, what's wrong, severity level, and suggested action. Tickets are grouped intelligently (by client, marketplace, and brand) with limits to prevent overwhelming the team.