Automotive & Auto Parts Retail Merchandising Cloud Software for Omani Business

Each outlet type gets its own checklist. Branded dealership showrooms run multi-zone display counters, forecourt lubricant bays follow their own aisle planogram, and independent auto-parts retailers and workshops across Muscat, Sohar and the interior governorates run branded racks with dealer signage. The app serves the matching checklist the moment the technician or merchandiser checks in.

Every signage install runs as a task with a start and end window, a GPS landmark, and a rack and signage brief attached. Field staff capture install, mid-cycle, and take-down photos. AI checks that the right SKUs and branding are in place, and an alert fires the moment a job runs late or a rival tyre brand starts creeping onto the rack.

The recognition model is trained on the brand's own SKU library together with reference templates drawn from Omani workshop counters and auto-parts outlets, so it is built for tools blocking the shot, workshop lighting, tight angles, and crowded shelves. Any photo the model is unsure about routes to a human reviewer, and new SKUs are added through a quick retraining cycle rather than a full model rebuild.

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 actually done, the proof is already on the screen.

Seasonal drives run as scheduled campaigns carrying an outlet list, kit allocation, install windows, take-down dates, and reference photos. Status updates in real time, and reports flag outlets where POSM never went up or came down too early. Trade marketing follows the full rollout on a live heatmap, whether the push is timed to peak summer battery and tyre demand nationwide or the Khareef travel season around Salalah.

Every rack is set up as a task tied to a location, a product mix, and a signage brief. Field staff capture install, mid-cycle, and take-down photos, and alerts trigger the moment the wrong products appear or branding starts to fade. Trade marketing and finance can then weigh what actually went up against the budgeted OMR spend.

Staff log OOS at the SKU and outlet level while still on the visit. The platform tags the cause, whether it is a dealer stock issue, a supply gap, slow restocking, or a delisted line, and 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 photo, and share-of-shelf is counted as facings per brand against the category total. Reports trend the numbers by dealer, governorate, category (tyres, lubricants, batteries), and outlet, so brand teams spot a competitor gaining ground well before the sell-out numbers confirm it.

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

Yes, within limits. Muscat, Sohar, and Salalah, where most of Oman's automotive retail activity sits, have reliable day-to-day connectivity, so this matters most on routes running into the interior and more remote wilayats where coverage can be patchy. On those routes, staff can still capture photos, complete the checklist, log OOS, and submit while offline; the data syncs once signal returns, and conflict handling stops the same visit being logged twice.