Customer Intelligence
BuildingA single view of what each household buys, prefers and repeats — so protein gets more personal over time.
- Unified customer profileBuilding
- Preference historyBuilding
- Purchase behaviourBuilding
- Recommendation engineBuilding
Commerce Platform
Live todayThe surfaces customers already use to order fresh protein in Pune.
- AppLive
- WebLive
- WhatsApp commerceLive
- PaymentsLive
- OffersLive
- SubscriptionsLive
Supply Intelligence
BuildingPlanning what to buy, from whom, and at what price — before protein hits the ice.
- Vendor managementBuilding
- Procurement planningBuilding
- Pricing intelligenceBuilding
- Demand forecastingBuilding
Operations Platform
Live todayThe fulfilment stack that turns an order into a cold-chain delivery.
- Order orchestrationLive
- Processing workflowLive
- InventoryLive
- Rider assignmentLive
- Live delivery trackingLive
AI Layer
BuildingAssistive intelligence on top of operations and customer data. Evaluated before it touches money or inventory.
- AI operations copilotBuilding
- Customer support assistantBuilding
- Personalised protein recommendationsBuilding
- Campaign intelligenceBuilding
- ForecastingBuilding
Data Platform
BuildingThe measurement layer: who ordered, what failed, what to try next.
- Customer 360Building
- Event analyticsBuilding
- ExperimentationBuilding
- Quality metricsBuilding
- Operational dashboardsBuilding
Why this architecture exists
India's protein gap is not only a last-mile problem. It is fragmented demand, opaque sourcing, wasted inventory and households that cannot personalise what they eat. The commerce and operations layers are live so customers can order today. Intelligence, AI and data platforms are the next stack — evaluated before they touch money or inventory.