Cosmetics & Personal Care Retail Merchandising Cloud Software for Indonesian Business

Each channel runs on its own picture-of-success. A Spar or Indomaret beauty counter gets a full planogram check with shade-tray, tester, and gondola end-cap audits. An open-market cosmetics stall in Java Trade Fair or Tanah Abang, or a warung carrying soap, cream, and roll-on, gets a simpler shelf-share and freshness check. The app loads the right brief per outlet class and rolls scores up by channel and state.

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 Christmas, Eid, Valentine's, or back-to-school push.

The model is trained on your SKU library, from small cream jars and roll-on deodorants to relaxer boxes and shampoo bottles. It handles crowded open-market shelves, glass-counter reflection, and the varied lighting of a market lock-up during a signal drop. Low-confidence photos route to a human reviewer. Retraining takes in new SKUs and festive 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 BPOM registration and batch codes. 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 relaxers before they are written off. It also surfaces packs without a visible BPOM number, which helps brands police counterfeits and parallel imports across open markets in Kalimantan and Sumatra.

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 in high-footfall Java counters.