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Success story · A large food manufacturer and distributor

Unified view of customer and distribution relationships strengthened downstream fulfillment.

12%Reduction in delivery miles per fulfilled order
18%Decrease in stockout-related incidents at key supermarket partners
9%Improvement in plan adherence

A large food manufacturer and distributor with direct relationships to major supermarkets and grocers, delivering both to central warehouses and, in some cases, store networks. Because they run on an MRP backbone and move high-volume SKUs, even small planning or routing inefficiencies create cost, stockouts, or delayed deliveries.

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Manufacturing & industrialsSupply chain & logisticsAI & machine learningData engineering & platforms
Impact
12%Reduction in delivery miles per fulfilled order through smarter routing and load consolidation.
18%Decrease in stockout-related incidents at key supermarket partners due to better alignment between production and actual delivery points.
9%Improvement in plan adherence as enhanced MRP used real downstream partner patterns.
01The Situation

The Situation

Business Problem

The company wanted clearer visibility into “who we’re really supplying, from where, and on which routes” across supermarkets, distribution centers, and warehouse deliveries. The existing MRP system handled demand and production planning, but it wasn’t fully exploiting newer AI/analytics signals (store-level pull, route performance, lead-time variability) to tighten planning and to optimize how trucks and loads were routed to these supermarket partners.

02The Challenge

The Challenge

We had to connect commercial reality (which supermarket chains, which distribution centers, which delivery patterns) with operational reality (plant output, inventory positions, truck capacity, driver windows) without disrupting the current MRP. That meant layering intelligence on top—NOT ripping and replacing—so planners could make better decisions and logistics could run smarter routes.

03The Solution

The Solution

We built an AI-and-analytics layer on top of the existing MRP that identified actual supply relationships (supermarket/distribution center/warehouse), fed that into enhanced planning, and used the same data to optimize delivery routes.

How the system works COMMERCIAL REALITYINTELLIGENCE LAYEROPERATIONSSupermarketsDistributionWarehouses01Maps who buys what, where02Feeds cleaner signals to MRP03Sequences and consolidatesExisting MRPPlant · stockLAYERED ON · NOT REPLACEDPLANNINGProduction matchesreal downstream pullROUTESFewer miles, loadsconsolidated, windows keptPLANNED VS. ACTUAL DASHBOARDSBY CUSTOMER AND LOCATION
  • 01Supplier/partner relationship mappingReconciled who buys what, from where, and how often—supermarkets, distribution locations, and direct-to-warehouse flows.
  • 02Enhanced MRP signalsFed cleaner demand, lead-time, and location data into the existing MRP so production and replenishment plans matched real downstream pull.
  • 03Route optimization engineUsed AI to sequence deliveries, consolidate loads, and pick routes that minimized miles and time while respecting delivery windows.
  • 04Planner dashboardsGave supply chain teams a view of “planned vs. Actual” by customer/location so they could tune future cycles.

Impact

What changed, as reported.

The figures as printed in the firm's own case-study collateral — nothing rounded or annualised.

12%Reduction in delivery miles per fulfilled order through smarter routing and load consolidation.
18%Decrease in stockout-related incidents at key supermarket partners due to better alignment between production and actual delivery points.
9%Improvement in plan adherence as enhanced MRP used real downstream partner patterns.

Data & AI is our singular focus. Data Products is a diverse firm with senior and executive data scientists focused on fully developing project solutions that leverage advanced mathematics and data that drive tangible insights that optimize your organization’s operations.

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Client background

A large food manufacturer and distributor.

A large food manufacturer and distributor with direct relationships to major supermarkets and grocers, delivering both to central warehouses and, in some cases, store networks. Because they run on an MRP backbone and move high-volume SKUs, even small planning or routing inefficiencies create cost, stockouts, or delayed deliveries.

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