Case Study: How SellAnalytix Helped an 8-Figure Amazon Brand Automate Accounting for 32,000 SKUs
Background: Scaling Challenges for a High-Volume Amazon Business
Sarah and her team run an $18M per year Amazon business, selling 32,000 SKUs across multiple product categories operating a wholesale model. With 98% of sales fulfilled via Amazon FBA, they owned & operated a large warehouse for restocking inventory and handling direct shipments from suppliers.
As the business scaled, accounting inefficiencies became a major bottleneck. Managing financials for such a high-volume business required daily reconciliations, automated bill processing, and seamless coordination between the warehouse, accounting team, and bank accounts.
- Sales Channels: Amazon FBA (98%), Limited FBM (2%)
- Business Model: High-SKU catalog with 3,000+ daily sales.
- Warehouse Operations: Large-scale storage & supplier shipments
- Accounting Complexity: Multiple bank accounts, 10+ employees on payroll, high transaction volume, multi-user team
- Previous Accounting Method: A mix of QuickBooks, spreadsheets, and manual uploads
The Problem: Inefficient, Labor-Intensive Accounting Processes
With tens of thousands of transactions per month, Sarah’s team faced several major issues that slowed down operations and created financial blind spots:
Manual Bill Uploads & Delayed Expense Tracking
- Their warehouse received daily shipments from suppliers, but bills were processed weekly or even bi-weekly.
- This led to delayed cost tracking, causing discrepancies in cash flow analysis.
Disorganized SKU-Level Profitability Tracking
- With 32,000 active SKUs, profitability tracking was inaccurate and delayed.
- Spreadsheets couldn’t keep up with real-time FBA fees, Amazon storage costs, and supplier invoices.
Slow Bank Reconciliations Due to High Transaction Volume
- The company processed hundreds of transactions per day across multiple bank accounts.
- Weekly reconciliations required hours of manual work, leading to delays in financial reporting.
Lack of Integration Between Warehouse, Accounting, and Amazon Data
- The warehouse team manually logged inventory receipts and shipments, which had to be manually entered into accounting software.
- This caused inconsistencies between what was in Amazon’s system and the company’s internal records.
The Workflow Before SellAnalytix
- Receiving Bills → Warehouse staff received shipments and sent invoices to accounting.
- Data Entry → Team manually entered supplier invoices into QuickBooks.
- Revenue Reporting → Amazon sales data was pulled weekly, meaning financial reports were always outdated.
- Bank Reconciliations → Accounting team manually matched transactions across multiple accounts.
- Profitability Analysis → SKU margins were manually analyzed in spreadsheets, leading to errors and delayed insights.
The Solution: SellAnalytix’s Full-Scale Automation & Workflow Optimization
Sarah’s company needed a scalable, automated solution to handle their financial complexity. SellAnalytix transformed their workflow by integrating real-time data syncs, automated reconciliations, and warehouse coordination.
Key Changes After Implementing SellAnalytix:
✅ Daily Automated Bill Uploads & Processing
- SellAnalytix connected directly with their supplier invoices, ensuring daily uploads instead of weekly delays.
- Warehouse staff could scan and upload bills in real-time, syncing directly with their accounting system.
✅ Real-Time Amazon Sales & Profitability Tracking
- Instead of manually downloading Amazon reports, SellAnalytix automatically synced sales, fees, and FBA costs every night.
- The team now had instant SKU-level profitability insights, allowing them to adjust pricing and restocking strategies on the fly.
✅ Automated Weekly Bank Reconciliations
- SellAnalytix matched bank transactions to supplier payments and Amazon payouts automatically.
- What used to take 10+ hours per week was now completed in minutes.
✅ Seamless Warehouse Integration with Accounting
- The warehouse team could now upload receipts directly into SellAnalytix, eliminating the need for manual data entry.
- This created 100% alignment between physical inventory, supplier invoices, and financial records.
✅ Multi-User Collaboration for Faster Month-End Closing
- SellAnalytix allowed different departments to access data in real-time.
- Accounting, warehouse staff, and leadership could all see financial updates instantly, reducing miscommunication and bottlenecks.
The Outcome: A Fully Streamlined Accounting Operation
By switching to SellAnalytix, Sarah’s team transformed their accounting process from a time-consuming manual mess into a fully automated, scalable system.
Metric | Before SellAnalytix | After SellAnalytix |
---|---|---|
Time Spent on Bill Processing | 30+ hours per week | Less than 8 hours per week |
Bank Reconciliation Time | 10+ hours per week | Fully automated, <1 hour |
Financial Reporting Speed | Always 1-2 weeks behind | Real-time, updated daily |
SKU Profitability Tracking | Manual, often inaccurate | Instant, live FBA fee & cost tracking |
Warehouse & Accounting Sync | Disconnected, manual process | Fully integrated, instant updates |
With SellAnalytix, Sarah’s company scaled to $18M+ without being overwhelmed by financial complexity. The business now had accurate financial data, real-time profit tracking, and automated workflows, allowing the team to focus on growth instead of chasing numbers.
Conclusion: A Game-Changer for High-Volume Amazon Sellers
For 8-figure Amazon brands, financial inefficiencies can become the biggest roadblock to scaling. Without real-time automation, businesses waste hundreds of hours on manual reconciliation, delayed reporting, and inventory mismatches.
SellAnalytix eliminates these pain points with automated accounting, seamless warehouse integration, and real-time profitability tracking—allowing high-volume sellers to stay ahead of their financials and focus on growth.
If you’re managing thousands of SKUs and struggling with accounting complexity, it’s time to switch to SellAnalytix.
Note: Names & figures have been changed slightly for anonymity, but the case study is real with one of our clients.