Beauty Counter & Market-Stall Merchandising Software for Ghana

Each outlet class loads its own checklist. A modern-trade counter at a chain such as Melcom or Palace calls for the full treatment: planogram position, shade-tray layout, tester wall and gondola end-cap. A kiosk, container shop or table-top stall selling single-sachet sizes calls for a lighter check built around pack facing, price tag and freshness. Mixing the two standards is what makes a national scorecard meaningless, so the app hands the merchandiser the right brief the moment it reads the outlet's class.

The recommended shelf price per SKU sits in the outlet master in GHS. A merchandiser keys or scans the price on display, and the platform flags any variance against that figure, whether the mismatch shows up on a Melcom shelf tag, a minimart price sticker or a hand-written card at a table-top stall. Repeated variance at one outlet or across a market cluster routes straight to the Sales Supervisor, because a scorecard that never checks price is only measuring half the shelf.

The model learns from a brand's own catalogue, not a generic one: a small jar of cream, a roll-on deodorant, a boxed relaxer, a bottle of shampoo. It is built for the conditions a Makola or Kejetia stall actually presents, tightly packed neighbouring stock, glare off a glass counter, light that shifts through the day. A photo the model is not confident about goes to a person instead of a false pass, and adding a new SKU or a festive pack does not take the audit offline while it happens.

A key account manager walks into a Melcom or Carrefour review with one number for shelf compliance, another for end-cap occupancy, one for how complete the shade tray is, one for tester presence, and one for share-of-shelf against the brands sitting alongside. Every one of those numbers has a GPS-stamped photograph behind it, which is what settles it when a chain or a key distributor reports execution that a counter visit never actually confirmed.

Every cosmetics and personal-care SKU is expected to carry an FDA mark and a batch code under the Public Health Act, 2012. A merchandiser scans or types that code during the visit, and the system checks it against the batch master, catching a cream, sunscreen or relaxer heading toward expiry well before it would otherwise be written off. A pack with no visible FDA mark, or a batch code the master does not recognise, is often the first sign of a counterfeit or a parallel import, and it is photographed at the point of display rather than discovered later.

Each counter's foundation, lipstick, powder and nail-polish shades are set up as individual checks. A merchandiser marks which shades are missing and photographs the tray; tester stock is logged the same way, and AI reads tray completeness straight from the image. An exception opens the moment a counter's shade count drops below what it should hold, or a tester goes unreplaced for two visits running, which shows up first at a busy Accra or Kumasi counter.

A festive campaign runs as a task with an install date, a dismantle date, a named counter or stall, and a POSM list attached to it. A merchandiser photographs the install, a mid-window check and the eventual dismantle, each shot GPS-stamped, and AI confirms the branding and SKU count match the brief. An exception opens the instant a display never went up, was pulled down early, got shifted to a worse spot, or the tester and sample stock ran out partway through, whatever the season, Christmas, Easter or an Eid window up north.

Photographs from every counter and stall, GPS-stamped, feed an AI pass that reads both a brand's own SKUs and a rival's. Share-of-shelf is nothing more than facings divided by the category total, broken out by chain, by market and by region, so it becomes visible that a competing haircare line is gaining space in Kumasi while barely holding its position in Takoradi. That kind of movement surfaces long before a sell-out report would show it.

Yes. The app works offline by design, built for exactly this: a packed Makola or Kejetia stall, a supermarket back-aisle with weak reception, or a stretch of road through Savannah or Upper West where the network genuinely disappears. Photos still get taken, the checklist still gets completed, out-of-stock and near-expiry SKUs still get logged, and the visit still goes through, connection or none. As soon as a signal comes back, the queued visits upload on their own, and the system catches anything that looks like the same visit logged twice.

A trade marketer watches campaign rollout, how much POSM has actually gone up, the audit pass rate, and how quickly flagged issues get closed out. A key account manager works from a chain-by-chain or distributor-by-distributor scorecard built for the review table. Leadership works from a single national execution figure, split by region and channel, with rival share-of-shelf movement and end-cap install progress sitting alongside it. Every one of those numbers can be traced down to the single photo it came from, and a plain-language question to 1Voice AI gets a plain-language answer.