1. Those who feed us, need us.

2. Farmer pain points and the Ricult solution
POOR QUALITY INPUTS AND INFORMATION 1
LOW PRODUCTIVITY AND YIELD 3
Dashboard
DATA BASED
DECISION MAKING
Input Marketplace
QUALITY FARM
INPUTS 2
EXPENSIVE OR INACCESIBLE CREDIT
BELOW MARKET PRICES AT HARVEST 4
Integrated Digital Platform
Credit Lending
CREDIT SCORING
MODEL
Output Platform
ACCESS TO
OUTPUT BUYERS

3. Marketplace – Providing Access to Quality Inputs
Marketplace Attributes
Provides Quality Inputs to Farmers:
Seeds
Fertilizers
Pesticides
Recommend Optimal Inputs for each Farmer
Functions on Cash and Sharia-Compliant Credit
Builds direct relationship with Farmers

4. Credit Scoring – Identifying the Right Candidates
Machine Learning Algorithm
Weather Analytics
Choosing the right farmers
Satellite Imagery
Soil/Crop Analytics
Economic Profiling - LRMIS
Credit Bureau/NADRA
Psychometric testing
Vouching Agent Network

5. Dashboard – Integrating Agronomic Information
Dashboard Attributes
Integrates Farm specific Agronomic Data:
Satellite
Weather
Soil Testing
Makes Recommendations to Farmers
Optimal Timing of Sowing, Growth, Harvest
Weather and Pest Alerts
Interventions and Preemptive Measures

6. Dashboard– Power of analytics and data distribution

7. Output Platform – Connecting Farmers to Buyers
Output Platform Attributes
Compiles data on each Farmer’s Crops
Quantity
Quality
History
Crop Buyers Compete on Price to buy each
Farmer’s Crops
Farmers get higher Price, Buyers get higher
Quality and Traceability
Creates Product Differentiation
Integrated Logistics module