Fulfill.io: Real-Time Automation and optimize online order fulfillment.
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.
JustEnough Fulfill.io from ToolsGroup 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.
JustEnough Fulfill.io delivers real-time intelligence to optimize omnichannel fulfillment.
Reduced Fulfillment Costs
ToolsGroup Fulfill.io can reduce shipping costs by 3-5% by optimizing based on predicted shipping and labor costs – all while meeting customer SLAs.
Increased Margins
Improve item margins by 1-2% by optimizing location-specific operational behavior (such as estimated stock-out date and potential price reduction risk), maximizing resource utilization, and avoiding markdowns.
Exponentially Better Results
Maximize profitability by evaluating every permutation – across hundreds of thousands of possible fulfillment outcomes – to provide an optimal recommendation at web-speed, every time.
Seamless Integration
Integrate seamlessly with any OMS through an API-powered composable architecture to supercharge fulfillment decision making.
Faster, Better Decision Making
Power optimal decision making with real-time inventory, supply, demand, and operations signals delivered by Inventory Hub®.
“The Fulfill.io solution from ToolsGroup helps us use data to make smarter, faster decisions to create an even better experience for our customers. The fulfillment optimization logic helps us generate operational efficiencies like reducing split rates and shipping costs while better serving the needs of our customers.”
– Paul Kisicki, VP of IT, Zumiez
Fulfill.io Features
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.
Configurations
Merchant-driven configurations that ensure fulfillment outcomes meet broader business goals, including network settings and cost estimation inputs.
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.