David Yu → Intelligence Office
Data Analysis & Business Insights / Case 02

Customer Growth Intelligence

Sales, SKU, region and inventory data translated into product-mix, replenishment, bundle, merchandising and sell-out recommendations.

The original customer deck is confidential. Public visuals below preserve analytical structure while removing identifiers and raw commercial values.

01 / EVIDENCE

The work survives redaction.

The analysis is shown as structure instead of publishing private customer values. That boundary is deliberate: evidence should be inspectable without leaking the source material.

Redacted customer growth intelligence structure
Information architecturepublic-safe derivative / values removed
Normalized diagnosis chart
Decision patternnormalized visual / no confidential values
Analysis to action loop
Action loopanalysis → recommendation → next cycle
02 / METHOD

Data becomes useful only after translation.

The analytical output was framed for a customer conversation: what is working, what may grow, where inventory risk sits, what to bundle and what to change in the next purchase or display.

01Read

Category, sales, SKU, region and stock structure.

02Diagnose

Hero products, growth candidates, regional differences and stock exposure.

03Translate

Turn patterns into product-mix, replenishment, bundle and display language a commercial team can use.

04Recommend

Make the next purchase or sell-out action explicit.