intaigent/agribusienss_retailer_game

if you are an agribusiness retailer in tanzania # Kijani Centre Kijani Centre is a small browser-based agribusiness life simulation. The player is Amina, a fictional Better Life Farming agri-entrepreneur and Agribusiness Leadership Program (ALP) trainee in Tanzania's Lake Zone. The prototype follows one connected vuli market day rather than several thin course-like episodes. Four characters arrive in sequence, and every choice changes the stock, cash, time, credit exposure, or trust available in the next encounter. ## The market-day story 1. A short sentence-by-sentence briefing establishes Amina's fixed stock and known commitments. 2. Rashidi offers cash for five of the eight seed packs. The player chooses between two visible ways to share the shelf—there is no quantity slider. 3. Rehema asks for credit. The player may check her record and buyer, then choose between two visible baskets; a larger risk stays behind an optional secondary action. 4. Juma arrives at 2:00 PM with an uncertain crop problem. Evidence checks advance the clock toward a real 3:00 PM demonstration deadline. 5. Neema brings the final demonstration-group request, reflecting both earlier stock allocation and whether Amina arrived on time. 6. The community returns at closing, the books reconcile, and a transparent Balanced Centre Score explains the result. Every decision lands in three short beats: the customer responds in their own voice, the player watches the choice move the shelf, cash tin, clock, or relationship, and then Amina puts the matching paper slip into a physical colour-coded book. The customer reaction comes first so a decision feels human before it becomes a number. Stock ordering and demand forecasting are intentionally outside this beginner prototype. There is no arbitrary quantity to order: the player allocates a known shelf across known people. Inventory still matters, but as a visible constraint rather than a forecasting calculation. ## Interaction principles - Context appears one short line at a time. - Decision co …