Omni-channel fulfillment requires sophisticated sourcing logic. Traditional order sourcing occurs among a handful of centralized fulfillment centers and uses simple, rules-based logic. But with store fulfillment, hundreds of locations and objectives must be considered. Applying simple logic to a complex network is inefficient, unwieldy, and expensive.
ToolsGroup Dynamic Fulfillment solves this problem by simultaneously considering multiple objectives — including cost to ship, labor, and in-store demand – to recommend the optimal fulfillment permutation for every online order.
Dynamic Fulfillment Features
01
Cost Estimation
Apply machine learning to estimate the total cost to fulfill each order based on shipping cost, location cost, and expected revenue – for every possible fulfillment option, simultaneously.
02
Configurations
Merchant-driven configurations that ensure fulfillment outcomes meet broader business goals, including network settings and cost estimation inputs.
03
Insights
Visibility into and reporting on fulfillment outcomes and KPIs, allowing you to assess and understand fulfillment trends and the impact of optimized sourcing logic.
01
Cost Estimation
Apply machine learning to estimate the total cost to fulfill each order based on shipping cost, location cost, and expected revenue – for every possible fulfillment option, simultaneously.
02
Configurations
Merchant-driven configurations that ensure fulfillment outcomes meet broader business goals, including network settings and cost estimation inputs.
03
Insights
Visibility into and reporting on fulfillment outcomes and KPIs, allowing you to assess and understand fulfillment trends and the impact of optimized sourcing logic.