Allocation Was A Manual Judgment Call
Staff decided which warehouse should fulfill an order based on habit or whoever was available, not consistent criteria.
LOGISTICS MVP CASE STUDY
Deciding Which Warehouse Fulfills Every Order, Automatically
An operation running multiple warehouses was assigning each incoming order to a fulfillment location manually, based on whoever happened to notice it first. MVPHUB designed and built a greenfield MVP that automatically allocates each order to the right location based on stock, distance, cost and capacity.
◑ Greenfield Allocation MVP A rules-based allocation engine was designed and built from scratch for a multi-warehouse operation.
☰ Four-Factor Decisioning Every allocation considers stock availability, distance, shipping cost and warehouse capacity together.
☖ Built For Network Growth Adding a new warehouse to the network doesn't require rebuilding the allocation logic.
Choosing The Right Fulfillment Location For Every Order, Every Time
Once a business operates more than one warehouse or fulfillment location, every order raises the same question: which location should handle it? Answered manually, that question gets inconsistent answers depending on who's making the call.
This engine automates that decision using a consistent, transparent set of factors, so allocation stops depending on individual judgment.
☖IndustryMulti-Warehouse Logistics
▣ProductOrder Allocation Engine
♙AudienceFulfillment Network Operations Teams
✦DeliveryGreenfield MVP Build
The Challenge
Stock And Capacity Weren't Checked Together
Orders were sometimes routed to locations that were out of stock or already at packing capacity for the day.
Shipping Cost Wasn't Part Of The Decision
Orders were occasionally fulfilled from a distant warehouse when a closer one could have shipped for less.
What We Can Identified
An allocation engine that evaluates stock, distance, shipping cost and warehouse capacity together to recommend the best fulfillment location for every order.
Real-Time Stock Check
Each candidate warehouse is checked for available stock before it's considered for allocation.
Distance-Based Scoring
Warehouses are scored on proximity to the delivery address to reduce shipping time and cost.
Capacity Awareness
Warehouses nearing their daily picking or packing capacity are deprioritized automatically.
Cost-Weighted Recommendation
Estimated shipping cost is factored into the final allocation recommendation, not just distance.
Manual Override Option
Operations staff can override a recommendation with a logged reason when local knowledge matters.
Allocation Audit Trail
Every allocation decision is recorded with the factors that led to it, for later review.
How MVPHUB Deliver The Allocation Engine From Concept To MVP
1
✧ Gather
We identified the real factors staff weighed informally when picking a fulfillment location.
2
▧ Weight
Stock, distance, cost and capacity were translated into a consistent, explainable scoring model.
3
▨ Design
The recommendation interface was designed to show why a location was chosen, not just which one.
4
◐ Build
Engineers built the scoring engine and connected it to live stock and capacity data.
5
◑ Launch
The MVP launched recommending fulfillment locations for real orders across the warehouse network.
An allocation engine earns trust by being explainable, not just automated. Show the factors behind every recommendation, and staff will rely on it.
Engineering Behind The Allocation Decision
Multi-Factor Scoring Model
Stock, distance, cost and capacity are combined into a single, weighted allocation score.
Live Inventory Integration
Stock checks reflect current levels rather than a periodic snapshot, reducing failed allocations.
Capacity Threshold Rules
Warehouses approaching capacity limits are automatically deprioritized in scoring.
Built For Additional Warehouses
The scoring model treats warehouses as configurable nodes, so new locations join without a rebuild.
The Outcome
Before: Disconnected And Manual
× Allocation decided by habit or availability
× Stock and capacity not checked together
× Shipping cost not factored into decisions
× No record of why an allocation was made
× Inconsistent outcomes across staff members
After: A Connected, Trackable Workflow
✓ Consistent, factor-based allocation recommendations
✓ Stock and capacity checked before every allocation
✓ Shipping cost included in the recommendation
✓ Every decision logged with its reasoning
✓ Manual override available with audit trail
An Allocation Engine Ready For A Growing Network
Greenfield allocation engine MVP delivered
Four-factor scoring model live
Real-time stock and capacity checks
Full allocation audit trail
From Manual Guesswork To A Transparent Allocation Engine
Make the decision explainable first. Automation only earns trust when staff can see why.
There was no allocation system before this engagement — location decisions depended on who was handling the order that day. The MVP replaces that with a consistent, explainable engine that weighs stock, distance, cost and capacity for every order.
THE MVPHUB PRINCIPLE
“Automating a decision doesn't help if nobody trusts the output. Build the explanation alongside the recommendation, not after it.
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Still Deciding Which Warehouse Fulfills An Order By Hand?
Bring us your current multi-location fulfillment setup, however manual it is today. MVPHUB can help you design and build an allocation engine MVP your team can actually trust.
AI-accelerated. Expert-verified. Built around the outcome your first release needs to prove.
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