Cosmetics & Personal Care Retail Merchandising Cloud Software for Omani Business

Each channel runs on its own picture-of-success. A Lulu Hypermarket or Carrefour beauty counter gets a full planogram check with shade-tray, tester, and gondola end-cap audits. A baqala counter carrying shampoo, cream, and roll-on, or a pharmacy shelf, gets a simpler shelf-share and freshness check. The app loads the right brief per outlet class and rolls scores up by channel and governorate.

End-cap windows are tasks with start and end dates, agreed location, and the required POSM. Merchandisers capture install, mid-window, and dismantle photos, all GPS-stamped. AI verifies the branding and SKU presence. Exceptions fire if the display is not up, gets displaced, or tester and sample stock runs out during a Ramadan gifting push or the Khareef-season demand spike around Salalah.

The model is trained on your SKU library, from small cream jars and roll-on deodorants to shampoo bottles and fragrance boxes. It handles crowded baqala shelving, glass-counter reflection on a modern-trade aisle, and the mixed lighting of a small-format store. Low-confidence photos route to a human reviewer. Retraining takes in new SKUs and seasonal packs without long downtime.

The key-account manager brings a scorecard to the buyer or distributor review: shelf compliance, end-cap occupancy, shade-tray completeness, tester presence, and share-of-shelf against rival beauty brands. Every figure is photo-backed and GPS-stamped. When a chain or a distributor claims credit for execution that did not happen at the counter, the evidence sits in the platform.

Cosmetics and personal-care lines carry batch numbers, and a product registration reference where a brand holds one. Merchandisers scan or key the batch during the audit, and the platform checks it against the batch master to flag near-expiry creams, sunscreens, and haircare lines before they are written off. It also surfaces packs missing a batch code, which keeps the counter catalogue clean across Muscat, Sohar, and Salalah.

Shade trays for foundation, lipstick, powder, and nail polish 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 threshold or tester units go missing across consecutive visits, which is common at high-footfall Muscat and Salalah counters.

Tester and sample stock-outs are logged at SKU and outlet level during the visit. The platform classifies the cause: depleted by shoppers, gone missing, or replacement delayed by the distributor. Daily availability dashboards by chain, governorate, and category let the key-account manager raise the issue with the distributor or buyer straight away, especially around a Ramadan or Khareef-season push.

GPS-stamped photos go through AI for own and competitor SKU detection. Share-of-shelf is facings per brand over the category total. Reports show trends per chain, per governorate, and per outlet class, so a brand can see whether a rival skincare or haircare line is expanding in Sohar while it holds flat in Salalah. Teams catch the shift before sell-out reports flag it.

Yes. The Muscat-Sohar-Salalah corridor, where most beauty counters and baqalas sit, runs on reliable connectivity and the app works online as normal there. On longer routes into the interior or a remote coastal wilayat, merchandisers still capture photos, complete the audit, log out-of-stock and near-expiry SKUs, and submit the visit offline. Everything syncs to the cloud once a connection is back, and conflict handling prevents duplicate visits.

Trade marketing sees campaign rollout status, POSM deployment rate, audit pass rate, and action closure. Key-account managers see chain and distributor scorecards for reviews. Leadership sees the Oman execution score, breakdown by governorate and channel, competitor share-of-shelf trends, and the end-cap install tracker. Drill-downs run from country to governorate to outlet to a single photo, and 1Voice AI answers questions in plain language.