Automotive Retail Merchandising & Store Execution Cloud Software for Nigerian Business

Every outlet type carries its own picture-of-success. Branded dealerships run multi-zone counters, fuel-station forecourts run lubricant aisle planograms, and spare-parts shops in Ladipo or Nnewi run branded racks with dealer signage. The app serves the correct checklist the moment the rep checks in.

Each installation runs as a task with start and end windows, a GPS landmark, plus a rack and signage brief. Reps shoot install, mid-cycle, and take-down photos. AI checks that the SKUs and branding are present, and an alert fires when a job runs late or rival tyre brands creep onto the rack.

The model learns from the brand SKU set together with templates drawn from Nigerian mechanic workshops and parts markets. It copes with tools blocking the view, greasy light, awkward angles, and jumbled stacks. Any photo it is unsure about is passed to a human checker, and fresh SKUs are added through quick retraining.

The KAM arrives at the JBP with a single sheet: planogram match, branded counter status, signage, share-of-shelf, and an overall execution score. Everything is backed by a photo and a GPS landmark. If a dealer claims credit for work that was never done, the proof is sitting on the screen.

Seasonal drives are set up as scheduled campaigns carrying outlet lists, kits, install windows, take-down dates, and reference shots. Status refreshes in real time, and reports surface outlets where the POSM never went up or was pulled down too soon. 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. Alerts trigger when the wrong products appear or the branding has faded. Trade marketing and finance can then weigh real execution against the budgeted Naira spend.

Reps record OOS at the SKU and outlet level while still on the visit. The platform tags the reason, whether it is 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 rather than waiting for the next review cycle.

AI picks out own-brand and rival SKUs from the same photo. Share-of-shelf is then counted as facings per brand against the category total. Reports trend the numbers by dealer, region, category (tyres, lubricants, batteries), and outlet, so brand teams catch a competitor expanding well before the sell-out figures show it.

Trade marketing follows rollout, POSM deployment, audit pass rates, and action closure. KAMs get a dealer scorecard for each JBP. Leadership sees the national score, the dealer breakdown, competitor share-of-shelf, and the install tracker. Drill-downs run all the way from the country view down to a single outlet photo.

The app is offline-first. Inside enclosed parts markets and rural mechanic clusters where the network drops or the grid is down, reps still shoot photos, finish the checklist, log OOS, and submit. Once signal returns at street level the data syncs to the cloud, and conflict handling stops the same visit being counted twice.