Retail business intelligence

A unified analytics layer pulling from Shopify, POS, WMS, and your loyalty platform. Margin by SKU, inventory performance, store comparison, and customer segmentation — in one dashboard your team can open on Monday morning and trust.

We build BI systems for retail operations managers and CTOs making decisions based on day-old spreadsheets or incomplete Shopify reports. Data from five systems, one view.

  • Unified dashboard pulling from Shopify, POS, WMS, and Google Analytics into one view

  • Inventory analytics with stockout prediction, slow-mover identification, and reorder alerts

  • Margin and discount analysis by category, channel, and store location

  • Customer segmentation for loyalty targeting and retention campaigns

  • Store performance comparison across all locations in one report

In short

RaftLabs builds retail business intelligence systems that unify data from Shopify, POS systems, warehouse management software, and loyalty platforms into a single analytics layer. Retail teams use these dashboards to track margin by SKU, identify slow-moving stock, compare store performance, and segment customers for targeted promotions. Most retail BI projects take 6-10 weeks.

Recognition

Sound familiar?

  • Margin by SKU is spread across three exports, and nobody on the commercial team can see the full picture without a day of manual work?

  • Stockouts happening in one location while another carries weeks of dead stock because inventory data is not unified in real time?

Companies we've built for

Vodafone
Nike
Microsoft
Cisco
T-Mobile
Aldi
Heineken
GE
Products shipped since 2019
100+
Cost delivery
Fixed
Week delivery for most retail BI projects
6-10
Retail businesses across 5+ markets
5+

Retail decisions are made on incomplete data. The Shopify report shows online revenue. The POS export shows in-store. The WMS has stock levels. The loyalty platform has customer segments. Nobody has all four in one place, so margin decisions get made on the channel you happened to export yesterday.

We build the data layer first: pipelines, warehouse, unified data model. Then the dashboards on top. In that order, so the numbers your team acts on are actually correct.

What retail decision can't your team make right now because the data isn't in one place?

Tell us your current systems and what the reporting gaps are costing you. We'll scope the BI build.

Talk about your retail BI project

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