Cloud Retail Merchandising & Store Execution Software for Egypt's Automotive Business

Every outlet type carries its own checklist. Branded dealership counters run multi-zone displays, forecourt shops run lubricant-aisle planograms, and spare-parts shops run branded racks with dealer signage. The app serves the right checklist the moment the rep checks in at the outlet.

Each installation runs as a task with a start and end window, a GPS landmark, and a rack-and-signage brief. Reps capture install, mid-cycle and take-down photos. AI checks that the right SKUs and branding are in place, and flags a job that runs late or a rack where a rival tyre brand has crept in.

The model is trained on the brand's SKU set together with reference templates drawn from Egyptian mechanic workshops and spare-parts shops. It handles tools blocking the shot, low workshop light, awkward angles and crowded stacking. Anything it is unsure of goes to a human reviewer, and new SKUs are added through a short retraining pass.

The KAM walks into the JBP with one sheet: planogram match, branded-counter status, signage condition, share-of-shelf and an overall execution score, each line backed by a photo and a GPS landmark. If a dealer claims credit for work that was never done, the proof is already on screen.

Seasonal drives run as scheduled campaigns carrying an outlet list, kit allocation, install windows, take-down dates and reference shots. Status updates in real time, and reports surface outlets where the POSM never went up or came down early. Trade marketing follows the whole rollout on a live heatmap.

Every rack is a task tied to a location, a product mix and a signage brief. Reps capture install, mid-cycle and take-down photos, and alerts fire when the wrong products appear or branding has faded. Trade marketing and finance can then weigh actual execution against the EGP budget allocated to the drive.

Reps log OOS at SKU and outlet level while still on the visit, tagging the reason: a dealer stock issue, a supply gap, slow restocking or a delisted line. Daily dashboards let the KAM raise it with the dealer the same day instead of waiting for the next review cycle.

AI identifies own-brand and rival SKUs from the same shelf or rack photo, then counts share-of-shelf as facings per brand against the category total. Reports trend the numbers by dealer, region, category (tyres, lubricants, batteries) and outlet, so brand teams see a competitor gaining ground before the sell-out figures confirm it.

Trade marketing tracks rollout, POSM deployment, audit pass rates and action closure. KAMs get a dealer scorecard ahead of every JBP. Leadership sees the national score, the dealer breakdown, competitor share-of-shelf and the install tracker, with drill-downs running from the national view down to a single outlet photo.

The app is offline-first. In dense spare-parts markets and on rural roads in Upper Egypt or the Delta where signal drops, reps still capture photos, complete the checklist, log OOS and submit. Once signal returns the data syncs to the cloud, and conflict handling stops the same visit being counted twice.