Kardinal Use case
Subcontractors Pricing
Most Parcel delivery players rely on subcontractors for last mile operations: picking, sorting and delivering parcels.
Negotiations between the two parties follow to define the best contract price. This price must be profitable for the subcontractor while being as low as possible.
Given uncertain parcel volumes and limited field knowledge on both sides, this becomes a major challenge for the success of both parties.
Subcontractors' Area Optimization
Leverage the power of our algorithm to optimize a subcontractor’s zone (size the fleet and divide its territory into optimal routes).
Simulate the merge of several subcontractors’ territories to redispatch areas and optimize costs.
Cost Optimization and Transport Pricing
By tapping into your subcontractors’ transportation cost information, you can ensure that your prices are fair and that you are getting the right price for delivery.
Share Data for Implementation
Once agreed upon with your contractor, export the data to help them implement the new process in the field.
Kardinal's Secret Sauce
Matching Costs and Revenues
Comparing both the cost structure of the subcontractor and its revenue potential allows to optimize the pricing while ensuring profitability.
Business Impacts
Better Costs & Profitability
Optimal sectorization implies optimal cost structure for the subcontractor, making everyone more profitable.
Less Turnover and Subcontractors failure
Routes remain feasible despite parcel volatility, and subcontractor’s business becomes predictible.
Less Dependance on Field Expertise
Algorithm recommendations rely on data-driven facts instead of (good or bad) field habits.
