Hectare by
Hectare
Programme
Adasomi Logistics
Adasomi Logistics powers the Hectare by Hectare programme, an agricultural initiative that aggregates demand for food produce and connects with farms and suppliers to satisfy those demands efficiently.
Role Overview: As a sub-consolidator, you aggregate demand from your neighborhood and post it to the platform. Each demand receives a unique ID for tracking. You're the vital link between local consumers and the agricultural supply chain.
Key Responsibilities:
Benefits: Earn commission on every successful delivery, build your network, and contribute to food security in your community.
Role Overview: Receive consolidated orders from superadmins, process them, and dispatch to warehouse partners in the proximity of sub-consolidators. Your role ensures efficient processing and distribution.
Key Responsibilities:
Benefits: Access to bulk orders, streamlined operations, and consistent business flow.
Role Overview: Receive food produce in your cluster, manage inventory, and prepare for dispatch to subconsolidators. You're responsible for storage and handling in your designated territory.
Key Responsibilities:
Benefits: Steady inventory flow, optimized storage management, and partnership with trusted suppliers.
Role Overview: As a logistics partner, you oversee all transportation operations in your territory. You manage drivers, vehicles, and ensure timely delivery from warehouses to sub-consolidators.
Key Responsibilities:
Benefits: Consistent delivery schedules, territory exclusivity, and performance-based incentives.
A seamless flow from demand aggregation to final delivery
Sub-consolidators collect and post neighborhood demands with unique IDs
Superadmin collates and assigns to produce aggregators and food processors
Processed goods received at nearest warehouse cluster
Logistics partners manage territory-wise haulage and delivery
Aggregate demand in your neighborhood and earn commissions
Manage territory operations and delivery fleet
Manage storage and distribution in your cluster