Automotive Retail Merchandising & Store Execution Cloud Software Built for the United Arab Emirates

Every outlet type in the UAE's automotive retail mix carries its own execution standard. Branded dealership showrooms run multi-zone counters, fuel-station forecourts run lubricant bay planograms, and independent spare-parts counters across the emirates run branded racks with dealer signage. The app pulls up the correct checklist the moment a rep checks in.

Each signage job is logged as a task with a defined install window, a GPS location tag, and a reference brief for the rack and branding. The rep photographs the install, a mid-cycle check, and the eventual take-down. AI reviews each photo for correct SKU placement and branding, and flags a job that overruns its window or where a rival tyre brand has crept onto the display.

The recognition model is trained on the brand's SKU catalogue and reference templates built from real UAE workshop and parts-counter layouts. It handles obstructed angles, low workshop lighting, and densely stacked shelving. A photo the model cannot confidently score is routed to a human reviewer, and new SKUs are added to the training set on request.

A KAM walks into a joint business planning session with one scorecard: planogram match, branded counter status, signage condition, share-of-shelf, and an overall execution score, each line backed by a timestamped photo and a GPS location. A dealer disputing completed work has the proof already on screen.

Seasonal pushes are built as scheduled campaigns with an outlet list, a kit list, install and take-down windows, and reference photos, timed around Ramadan and the Dubai Shopping Festival period. Status updates in real time, and reports flag outlets where POSM never went up or came down early. Trade marketing tracks the full rollout on a live map view.

Each rack is set up as a task linked to a location, an approved product mix, and a signage brief. Reps capture install, mid-cycle, and take-down photos. An alert fires the moment the wrong products appear on the rack or the branding starts to fade, letting trade marketing and finance weigh actual execution against the AED budget allocated to the drive.

Reps log an out-of-stock line at SKU and outlet level during the visit itself, tagging the cause: a dealer stocking gap, a supply-side shortage, delayed restocking, or a delisted product. Daily dashboards put this in front of the KAM the same day, rather than waiting for the next scheduled review.

The AI identifies both the brand's own SKUs and competitor SKUs from a single shelf photo, then calculates facings per brand against the total category count. Trends run by dealer, emirate, category (tyres, lubricants, batteries), and outlet, giving brand teams an early read on a competitor gaining shelf space before it shows up in sell-out numbers.

Trade marketing tracks rollout progress, POSM deployment, audit pass rates, and how quickly flagged issues get closed out. KAMs work from a per-dealer scorecard ahead of each JBP. Leadership sees the country-level score, a breakdown by dealer, competitor share-of-shelf, and the live install tracker, with drill-down all the way to a single outlet photo.

Reps can still capture photos, complete the checklist, log stock-outs, and save a visit locally if a basement service bay or a dense parts-counter unit briefly loses signal. As soon as the connection returns, everything syncs to the cloud automatically, and duplicate-visit checks make sure the same call isn't recorded twice. Across the UAE's fast, largely uninterrupted mobile network this stays an edge case rather than a daily routine.