Amazon Seller Operations | eCommerce Automation

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eCommerce

Amazon Seller Central Operations Hub

Unified operations dashboard for multi-SKU Amazon sellers with inventory, pricing, and review management.

eCommerce automation case study featuring integration and reporting.

-90%

Stockouts

+15%

Profit Margins

<2 hours

Review Response Time

Overview

A multi-SKU Amazon seller needed unified operations across inventory management, pricing optimization, review monitoring, and competitor tracking. The solution reduced stockouts by 90% and increased profit margins by 15%.

Business Context

Managing hundreds of SKUs across both FBA and FBM fulfillment models had become operationally chaotic, with the seller spending more time on operations than on growth initiatives. The seller was losing significant revenue to preventable stockouts during peak demand periods — sometimes running out of best-sellers during Prime Day or holiday seasons — while simultaneously holding excess inventory on slow-moving products that tied up working capital. Pricing decisions were reactive rather than strategic, with competitors frequently winning the Buy Box through more aggressive pricing automation. Negative reviews often went unnoticed for days, damaging product rankings and conversion rates before the team could respond with solutions or explanations.

How We Built It

We built a centralized operations hub using Amazon's SP-API as the data foundation, with Make.com orchestrating data flows and Retool providing the operational interface for the operations team. The inventory management layer syncs FBA inventory levels with FBM warehouse data in real-time, applying forecasting algorithms based on historical sales velocity, seasonality patterns, and promotional calendars to predict demand and calculate optimal restock timing with supplier lead times factored in. Automatic purchase order generation triggers when inventory hits reorder points, with approval workflows for orders above threshold amounts. The dynamic pricing engine monitors competitor prices across the top 10 ASINs per category, Buy Box status, and margin thresholds to automatically adjust pricing within defined guardrails — maximizing margin when competitive pressure is low and staying competitive when needed to maintain sales velocity and search ranking. Review monitoring uses OpenAI for sentiment analysis, instantly categorizing new reviews by issue type (product quality, shipping, sizing, missing items) and urgency level, routing critical reviews to the customer service team for rapid response while identifying product quality patterns across the catalog that should be escalated to the product team. Competitor tracking monitors a defined set of competing ASINs for price changes, new listings, inventory status, and advertising activity, alerting the team to competitive movements that require strategic response. Profit analytics calculate true per-SKU profitability including Amazon fees at the transaction level, advertising costs attributed by campaign, returns with reason codes, and fulfillment expenses by method, surfacing underperforming products that may need pricing adjustment, bundle restructuring, or discontinuation. A unified dashboard provides executive visibility into overall business health with drill-down capabilities into any product, time period, or cost category.

Challenges

No unified view of inventory across FBA and FBM

Manual pricing adjustments

Negative reviews going unnoticed

Competitor price changes missed

Restock timing inconsistent

What We Delivered

Unified inventory dashboard with FBA/FBM sync

Automated restock alerts with lead time calculation

Dynamic pricing engine based on competition and margins

Review monitoring with AI sentiment analysis

Competitor tracking with price alerts

Profit analytics per SKU

Tech Stack

Amazon SP-API, Make.com, Retool, PostgreSQL, OpenAI for review analysis

Results

-90%

Stockouts

+15%

Profit Margins

<2 hours

Review Response Time

Strategic Impact

The 90% reduction in stockouts directly recovered revenue that was previously lost to out-of-stock periods, particularly during promotional campaigns and seasonal peaks when stockouts are most costly and competitor acquisition of the Buy Box is permanent. The 15% improvement in profit margins came from the combination of smarter pricing that captured margin when possible, reduced over-discounting that had been happening due to reactive manual adjustments, and better inventory management that reduced storage fees and aged inventory write-offs. The sub-2-hour review response time has protected product rankings, as Amazon's algorithm factors in seller responsiveness to customer feedback, and visible seller responses improve conversion rates even on listings with negative reviews. The team now makes data-driven decisions about inventory investment, shifting capital toward high-velocity products and reducing commitments to slow movers, improving overall return on inventory investment. Competitive intelligence has transformed from occasional manual checks to continuous monitoring, enabling the seller to respond to market changes within hours rather than days and often preemptively adjust to anticipated competitor moves. The unified view across all SKUs and fulfillment models has eliminated the fragmented spreadsheet tracking that previously consumed hours of operations time daily, with automated reporting replacing manual data compilation. The system has enabled the seller to expand their catalog significantly without proportionally increasing operations headcount, improving the economics of their Amazon business and enabling reinvestment in product development. The operational efficiency gained has allowed the team to focus on strategic initiatives like international expansion to European marketplaces and new product development based on gap analysis in their categories. The profit analytics have also supported more effective negotiations with suppliers, as the team now has precise data on margin contribution by product.