Uganda’s offline trade is dense, fragmented, and commercially decisive. It is also under-measured where movement actually happens: at the store shelf, at the cooler, on the counter, and across the routes that shape daily demand.
Frontline Research Group (FRG) is now Native. The capability FRG built across African Traditional Trade now sits inside Native’s operating system for offline trade. Native makes physical stores machine-readable, then applies agentic AI to convert store-level reality into precise commercial action.
That matters in Uganda because the market does not move in clean national averages. It moves outlet by outlet. It shifts by category, pack, brand, price point, promotion, availability, visibility, and execution condition. A commercial leader needs to know where share moved, why it moved, and what action should follow.
Native now maintains ongoing retail tracking in Uganda across 536 beverage SKUs, 163 beauty and wellbeing SKUs, 123 home care SKUs, 218 nutritional product SKUs, and 521 personal care SKUs.
This is not a static category read. It is a living measurement layer. SKU-level coverage shows which products are present, where pricing is changing, where category pressure is building, and where execution conditions explain commercial movement. It turns scattered store signals into a structured market view.
The benefit is control.
With this data, enterprise consumer brands can read the real shape of demand before it is softened by aggregation. They can see distribution gaps at store level. They can detect where a competitor is gaining ground. They can compare price corridors across routes and outlet types. They can separate a weak brand position from a weak execution condition. They can identify which stores deserve action now, not after the quarter has already moved.
Native brings agentic AI into this operating layer. The platform does more than hold market data. It reads conditions, identifies movement, prioritizes action, and learns from the result. Commercial teams move from periodic interpretation to continuous direction. They do not only ask what happened. They know where to act next.
Native refers to this product layer as Ratio One.
Ratio One measures movement. It shows whether share shifted, where it shifted, and which store conditions explain the shift. In Uganda, that means non-alcoholic beverages, beauty and wellbeing, home care, nutritional products, and personal care can be read with SKU-level precision across the trade where everyday purchase decisions are made.
FRG created the foundation. Native turns it into an agentic intelligence layer for offline trade.
The result is a clearer market, a sharper operating cadence, and faster commercial action. Uganda’s stores become machine-readable. Category movement becomes measurable. Decisions move closer to the shelf.
For more information: Steve Johnson, VP Sales – Africa at Native, Tel: +230 5493 6376, steve.johnson@native.io ; or Art Janse van Rensburg, Director of Sales – Africa, Tel: +27 (0)71 889 9080, art@native.io
