Evolutionary agriculture artificial intelligence solution for Agri-Food Supply Chain (QiFood)
Delivering the right data and intelligence across the agriculture and food value chain
Connect
Connect various data sources automatically for a detailed analysis.
Transform
Get actionable insights from the in-built ML engine.
Grow
Improve efficiency and drive profitability with sustainable business growth.
Translate raw data into insights & recommendations with
Qi capabilities
AgriCollector
Enable environmental, policy, crop yield, distribution & customer data collection.
AgriAnalyzer
Get predictions on the essential parameters automatically by using pre-built templates.
AgriInsights
Access reports and actionable insights on the go from a single dashboard.
AgriStore
Stay organized with your data and insights and store them in a secured environment.
FMCGCollector
Enable environmental, yield, storage, procurement, logistics, policy & customer data collection.
FMCGAnalyzer
Get predictions on the essential parameters automatically by using pre-built templates.
FMCGInsights
Access reports and actionable insights on the go from a single dashboard.
FMCGStore
Stay organized with your data and insights and store them in a secured environment.
Supporting the agri-food industry value chain with actionable insights

Farm operators
- Determine crop selection to select the most suitable and attractive crop to grow.
- Optimize harvest and post-harvest logistics from yield forecasts and truck routing plans.
- Improve bottom line and minimize costs.
Agriculture input manufacturers & distributors
Data-led insights help:
- Determine market opportunities for input products like fertilizers, pesticides, and agri tools.
- Match offerings with farmer needs and demonstrate better product ROI.
- Adjust resource planning and inventory levels to changing conditions.


Government
- Understand market volatility and prioritize value-chain investments
- Optimize land use and irrigation with the right mix of insights on weather and agronomic data
- Reduce food shortage through yield forecast, raw food consumption analysis, and trade flows.
Food product manufacturers
- Reduce volatility in commodity procurement from storage capacity and pricing prediction.
- Optimize productivity and reduce food waste from logistics analytics.
- Reduce unit costs by identifying suitable suppliers from yield and storage predictions.


Retailers
- Improve shelf-life of the products from logistics and food freshness prediction.
- Improve customer satisfaction by ensuring an uninterrupted supply of food products around the year.
- Optimize product pricing and margins from competitive sourcing of suppliers.