How we analyze

From "I think we should..." to "the data says..."

Most decisions in small businesses are made on gut feel because the data takes too long to gather. We close that loop. Whether it's pricing, promotions, product mix, or customer behavior — we surface what's actually driving the business and what to change.

  • Sales analysis by category, store, time, customer segment
  • Product performance and SKU rationalization
  • Pricing analysis and elasticity
  • Forecasting support for inventory and staffing
  • Promotion effectiveness — what worked, what didn't
  • Customer behavior, basket analysis, repeat patterns
Promotion ROI · trend
Category performance
Beverages
Snacks
Health & beauty
Tobacco

Common analytics projects

Examples of what an engagement might look like.

Pricing study

Identify under-priced SKUs, test price changes, measure margin impact across store clusters.

Basket analysis

Discover which products are bought together. Use it for promos, cross-sells, and store layout.

Demand forecasting

Forecast sales by product and location to inform ordering, staffing, and promotion timing.

Have a specific question your data should answer?

Tell us the question. We'll tell you what data we'd need and how quickly we could answer it.