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KRAVVE Protein OS

Technology for India's protein supply chain

KRAVVE is assembling the software layers that connect sourcing, processing, fulfilment and household protein consumption. Commerce and operations are live in Pune. Intelligence, AI and data platforms are being built — and we label them that way.

Customer Intelligence

Building

A 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 today

The surfaces customers already use to order fresh protein in Pune.

  • AppLive
  • WebLive
  • WhatsApp commerceLive
  • PaymentsLive
  • OffersLive
  • SubscriptionsLive

Supply Intelligence

Building

Planning 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 today

The fulfilment stack that turns an order into a cold-chain delivery.

  • Order orchestrationLive
  • Processing workflowLive
  • InventoryLive
  • Rider assignmentLive
  • Live delivery trackingLive

AI Layer

Building

Assistive 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

Building

The 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.