Cosmetics Retail Merchandising & Store Execution Cloud Software for Kenyan Business

Each format gets its own picture-of-success. Supermarket beauty aisles get a full planogram check with shade-tray and end-cap audits. Pharmacy personal-care aisles get a simpler shelf and tester check. The app loads the right brief per outlet. Reports roll up by chain and format.

End-cap windows are tasks with start and end dates, agreed gondola location, and required POSM. Merchandisers capture install, mid-window, and dismantle photos. AI verifies signage and SKU presence. Exceptions fire if the end-cap is not up, gets displaced, or sample stock runs out.

The model is trained on the brand SKU library and chain templates. It handles partial occlusion, glass reflection, varied supermarket lighting, and mixed-shade trays. Low-confidence photos route to a human reviewer. Retraining cycles take in new SKUs and festive POSM variants without long downtime.

The KAM brings a chain scorecard to the buyer review: shelf compliance, end-cap occupancy, shade-tray completeness, tester presence, sample stock, share-of-shelf. Data is photo-backed and GPS-stamped. When a chain claims credit for execution that did not happen, the evidence is in the platform.

Festive rollouts are scheduled campaigns with chain-specific store lists, POSM kits, install windows, dismantle dates. The merchandiser app shows the per-outlet plan. Install status updates in real time. Exception reports flag outlets where festive POSM is not up or dismantled early. Trade marketing sees the heatmap during the season.

Shade trays are configured as SKU-level checks per counter. Merchandisers tap the missing shades and submit a photo. Testers are logged the same way. AI scores tray completeness from the photo. Exception flags fire when shades run below the threshold or tester units go missing across consecutive visits.

Sample stock-outs are logged at SKU and outlet level during the visit. The platform classifies the cause: depleted by shoppers, missing, or replacement delayed. Daily sample-availability dashboards by chain and category let the KAM raise the issue with the chain immediately, especially during festive launches.

GPS-stamped photos go through AI for own and competitor SKU detection. Share-of-shelf is facings per brand over category total. Reports show trends per chain, per region (Nairobi, Mombasa, Kisumu), per category, per outlet. Brand teams catch competitor expansion before sell-out reports flag it.

Trade marketing sees campaign rollout status, POSM deployment rate, audit pass rate, action closure. KAMs see chain-wise scorecards for buyer reviews. Leadership sees national execution score, chain breakdown, competitor share-of-shelf trends, end-cap install tracker. Drill-downs run from country to chain to outlet to photo.

The app is offline-first. Inside supermarket aisles or pharmacy back-shelves where signal drops, merchandisers capture photos, complete the audit, log out-of-stock SKUs, submit the visit. When signal returns, data uploads to the cloud. Conflict handling prevents duplicate visits if a sync happens after a manual entry.