Agriculture Retail Merchandising Cloud Software for Nigerian Business

Every outlet type runs on its own brief. The signage a roadside agro-dealer counter needs is not the signage a fertiliser depot needs, and a cooperative input shop's shelf-talkers differ from an animal-feed wholesaler's display. The system tags each outlet by class, serves the matching checklist, and rolls scores up by class so brand teams see exactly where execution slips.

Field officers snap counter photos that carry GPS and a timestamp. The cloud model recognises agro-input pack shapes, tallies facings, picks up rival products sitting alongside, and raises planogram breaches and out-of-stock cases. Counting by hand disappears, and the time spent auditing each agro-dealer counter falls steeply.

L1 is the self-check the field officer or extension agent completes during the visit. L2 is a supervisor review that triggers on flagged scores or a sampling quota. L3 is a brand spot-check run on a selected sample for governance. When something fails, it escalates to the owner with a fixed corrective-action deadline.

Brand teams brief POSM by outlet class and tag it to the season, such as a wet-season planting push or a dry-season input drive. Each outlet's allocation is generated automatically. Field officers shoot before-and-after photos validated by GPS. ROI dashboards surface campaigns that are falling short while the season is still open to fix.

Yes. The app is built offline-first. At rural agro-dealer counters, village input shops, and far-flung fertiliser depots where the network drops or NEPA power is out, officers still finish checklists, capture photos, and log POSM verification. Everything syncs to the cloud once signal returns, so no audit is ever lost.

Checklists log competitor branding, demo stock, POSM, pricing, and fresh launches. The AI also flags any rival pack placed next to yours on the shelf. That market picture feeds joint-business-planning talks with agro-dealers and helps shape territory plans ahead of the next planting window.

Audits record batch numbers on the SKUs that matter. The platform checks them against the batch master and raises a flag on stock nearing expiry. Brand teams can then push a clearance offer or swap depots before the write-off lands. Crop-protection and biological lines are routed first in this flow because their shelf life is shortest.

The territory view shows compliance across a region such as Kano or Ibadan. The class view separates agro-dealer counters, fertiliser depots, seed dealers, and feed wholesalers. The SKU view shows facings for fertiliser, seed, crop protection, and feed. You can drill from the national roll-up all the way down to a single photo, every step traceable.

Yes. Retail execution sits on the same cloud backend as the SFA. Each audit attaches to the field officer's visit record, so brand teams trace visit to audit to sell-through in a single view. When visit counts are high but audit counts are low, the officer review surfaces the gap. 1Voice AI answers questions in plain language.

Brand managers get POSM compliance, SKU facing trends, planogram breaches, competitor adjacency, and near-expiry heatmaps. Merchandising leads track campaign ROI, install pace, and budget burn. Sales leadership sees territory roll-ups. 1Voice AI fields the one-off queries on demand.