Agri Retail Merchandising Software for South African Brands

They can, and in practice they have to. A co-op branch with a long service counter takes very different material to a fertiliser depot working out of a yard, and neither resembles what an animal-health counter or a feed store has room to display. Each outlet is tagged with its type, receives the checklist written for that type, and reports into a scorecard for that type — so when execution slips, you can see which part of the channel it slipped in.

Every photograph a rep takes carries a location and a time. From that image the model works out pack shapes, counts facings line by line, notes which competing products are sharing the space, and flags anything that breaks the planogram or has run out. The rep confirms rather than counts, which is why a full audit fits inside a normal call instead of stretching it.

The rep or agronomy adviser standing in the store scores L1 before leaving. A regional supervisor picks up L2, either because a score was flagged or because the outlet came up in the sampling quota. L3 sits with the brand team as a governance sample. A failure at any level opens a corrective action with a named owner and a due date.

A campaign is tagged to its window — the summer-rainfall planting push through the maize belt, or the winter-grain run in the Western Cape — and the platform works out what each outlet should receive. Reps photograph the counter before and after, with the location stamped on both frames. Because the return dashboards move while the campaign runs, a province that is falling behind can still be rescued inside the season.

Yes — that is precisely what it is built for. Mobile coverage thins out fast on gravel farm roads, across the wider maize belt and in pockets of the townships where the same reps call. Checklists, photographs and signage sign-offs all complete on the handset with no connection at all, then upload the moment the device finds one. No audit is lost and nothing has to be captured twice.

Reps record rival branding, demo stock, shelf material, price points and any new launch on the same checklist, and the image recognition separately flags competing packs sitting alongside your range. Pulled together, that gives commercial teams a defensible picture to take into joint planning with a co-op or a dealer group before the next season is committed.

Batch numbers are captured during the audit on the lines where shelf life matters, then matched against the batch master. Anything approaching its date is raised early enough to move — a clearance offer, or a swap between depots — instead of being written off later. Crop-protection and biological products run through this check first, since they are the least forgiving.

All the way down. Start on the national number, open a province such as the Free State or Mpumalanga, split that by outlet type — co-op branch, fertiliser depot, seed and crop-protection dealer, feed store — then by range, to see facings for fertiliser, seed, crop protection and animal nutrition. Every figure traces back to a dated, located photograph.

They are one system, not two. Every audit is written against the rep's visit record, so a single view runs from the call, through the audit, to what the outlet actually sold on. Where visit numbers look healthy but audit numbers do not, the gap shows up in the rep review straight away. 1Voice AI answers ad hoc questions in ordinary English.

Brand managers watch signage compliance, facing trends by line, planogram breaches, competitor adjacency and near-expiry exposure. Trade-marketing leads follow install pace, budget burn and campaign return. Commercial leadership works off the province roll-up. Anything outside those views can simply be asked of 1Voice AI.