Analytics for Retail and eCommerce

Retailers today generate data from an ever-growing list of sources: eCommerce platforms, physical POS terminals, inventory management systems, marketing automation tools, customer loyalty programs, and third-party marketplaces. Each system offers its own reporting, but none provides the unified view that merchandisers, marketers, and operations leaders need to make coordinated decisions. The result is conflicting metrics, delayed reporting, and missed opportunities to respond to changing customer behavior.

Adapter builds analytics solutions purpose-designed for the retail operating model. We start by mapping your key performance indicators across the customer lifecycle, from acquisition cost and conversion rate through average order value, repeat purchase rate, and lifetime value. We then build data pipelines that pull from your eCommerce platform (Shopify, BigCommerce, WooCommerce, or headless), POS system, inventory and warehouse management tools, Google Analytics, and paid advertising platforms. Everything flows into a unified data warehouse where we model the relationships between marketing spend, customer behavior, and inventory movement.

The dashboards and reports we deliver are designed for action, not just observation. Merchandisers see product performance by category, channel, and region with drill-down to SKU-level detail. Marketers track campaign ROI with attribution models that account for multi-touch customer journeys. Operations teams monitor inventory turnover, stockout risk, and fulfillment speed in real time. We also build automated alerting that flags anomalies, such as a sudden drop in conversion rate, unexpected inventory shrinkage, or a marketing campaign that is burning budget without producing sales, so your team can respond before small issues become big problems.