• 11 October, 2026

Retail businesses collect valuable information through sales transactions, inventory systems and product movements. The challenge is turning that information into decisions about what to stock, where to display it and when to change the assortment.

An eMpulse case study illustrates this challenge. A multi-brand retailer had extensive transaction and supply-chain data but needed help identifying patterns that could guide merchandising and operations.

Connecting data to everyday decisions

The research focused on merchandise movement, shelf placement and visual merchandising. Instead of analysing sales totals alone, the team examined how quickly products sold after reaching the display.
For one category of men’s shirts, strong sales within the first two days were associated with a greater likelihood of selling through within a month. This was a finding within that retailer’s data—a useful signal for its merchandising decisions.

Moving from reports to action

The analysis supported recommendations on assortment, pricing, promotions and in-store availability. It also highlighted opportunities to connect customer behaviour with operational planning.
For retailers, the lesson is to start with a business question: Which products deserve more space? Which items need intervention? Where might availability be limiting sales?

Key takeaway: Data becomes valuable when it helps teams make a specific decision.

Have sales and inventory data that could work harder for your business? Discuss your retail analytics needs with eMpulse.