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Grocery & Foodservice

A sector where perishable windows, operator-specific pricing, and route economics collide every shift.

$1.12T

2024 Sector Revenue

32,900

Companies

5.8%

2023→2024 Growth

18%

2022 Gross Margin

Grocery and foodservice distribution runs on delivery windows that don't negotiate, operator contracts with wildly different economics, and perishable cost structures that punish every extra hour in a cooler. Intelligence here has to touch the dispatch board, the order-entry screen, and the rebate tracker simultaneously.

The Structural Pressure in Grocery & Foodservice

Operator contracts — from national chains to independent restaurants to K-12 systems — each carry distinct pricing mechanics, allowance structures, and service-level expectations. Route cost, product pack/case dynamics, and shrink exposure all vary by customer tier, making gross margin a moving target that rarely looks the same twice.

Perishable inventory compounds the pressure: every case of produce, dairy, or protein has a clock, and the cost of waste sits on top of the already-tight distribution margin. Seasonal demand — school calendars, sports seasons, weather-driven pull — further shapes what a truck needs to carry.

Structural Factors

Perishable shrink exposure

Operator-tier contract complexity

Route-to-case economics

Seasonal and calendar-driven demand

Pack/case conversion accuracy

ENGAGEMENTS

Intelligence That Moves Metrics

Representative engagements demonstrating applied intelligence across sectors.

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IndustryCommercial Equipment & Supplies
Scale$310M Revenue
Duration20 Weeks
LocationUnited States
EngagementAI Consulting

Service & Lease Lifecycle Intelligence

CHALLENGE: The VP of Service Operations traced the problem through a specific account that represented the pattern across the portfolio. A 12-location restaurant group in Columbus had 34 active service agreements covering commercial ovens, fryers, refrigeration units, and dishwashers — $126K in annual service revenue. In Q3 2024, 8 of those agreements expired within a 6-week window. The coordination team caught 3 of them in time and renewed them. The other 5 lapsed. The restaurant group's facilities director, receiving no outreach from the distributor, accepted a competing service provider's proposal covering all 5 units plus 4 additional units the distributor had been servicing on a time-and-materials basis. $62K in annual recurring revenue moved to a competitor — not because of price or service quality, but because someone else called first.

SOLUTION: We spent 5 weeks in discovery analyzing the full lifecycle portfolio — 6,200 active agreements, 840 leases, and 3 years of historical renewal, lapse, and conversion data. The team also spent a week with the 4-person coordination team documenting their workflow and the shared Excel workbook that served as the lifecycle management system.

$1.9MAnnual recurring revenue recovered from missed renewals and lapsed agreements
22%→6%Missed renewal rate across the active service portfolio
41%Increase in warranty-to-service-contract conversion rate
$680KIncremental revenue from lease-end equipment refresh captures
View Engagement Details
IndustryIndustrial & MRO
Scale$180M Revenue
Duration20 Weeks
LocationUnited States
EngagementAI Consulting

Inventory Intelligence

CHALLENGE: The branch managers weren't wrong — many of their instincts about local demand were accurate. But instinct doesn't scale across 200,000 SKUs and 7 branches. A branch manager can intuitively manage 500-1,000 items they interact with regularly. The other 28,000 SKUs in their branch are managed by default — whatever the system says, plus whatever the last stockout taught them to fear.

SOLUTION: We analyzed 30 months of SKU-level transaction and replenishment data, with on-site visits to the Minneapolis, Fargo, and Duluth branches. The analysis confirmed a structural mismatch between how purchasing decisions were made and how demand actually behaved — and that the problem was solvable with the data already inside Eclipse.

23%Inventory value reduction
$2.1MWorking capital released
18%Fill rate improvement
35%Fewer emergency purchase orders
View Engagement Details
IndustryHVAC & Plumbing
Scale$170M
Duration20 Weeks
LocationUnited States
EngagementAI Consulting

Seasonal Demand Intelligence

CHALLENGE: The Director walked through the summer of 2024 as the case in point. Portland hit 100°F in late June — earlier and hotter than the prior 3 years. Residential contractors flooded the counter with demand for condensing units, mini-splits, and refrigerant. The purchasing team had set summer cooling inventory based on 2023 patterns, when the first heat event didn't hit until mid-July. By July 1st, the 3 Portland metro branches were stocked out on 8 of the top 12 residential cooling SKUs. The team placed emergency orders with manufacturers at expedited freight costs. Two weeks later, inventory arrived — just as the heat wave broke and demand dropped 40% below forecast for the rest of July.

SOLUTION: We spent 5 weeks in discovery analyzing 4 years of transaction data across all 6 branches, mapped against weather data, building permit filings, and construction activity in each branch's trade area.

$1.4MAnnual seasonal overstock cost eliminated
41%Reduction in peak-season stockouts on high-velocity items
19%Improvement in inventory turns
$680KWorking capital released from seasonal inventory reduction
View Engagement Details

Commercial Intelligence

Operator-Tier Pricing at Order Entry

Resolving contract tier, allowance, and rebate terms automatically at the point of order so operator pricing is correct on every line, not just the headline SKU.

Margin Intelligence by Route

Detecting margin erosion by route, operator segment, and product category in real time — before monthly gross-profit reviews reveal the leakage.

New-Operator Win/Loss Analytics

Analyzing outcomes across foodservice bids to identify which pricing structures, fill rates, and delivery commitments separate won operators from lost ones.

Cross-Category Substitution at Point of Sale

Recommending pack/case, brand, or format alternatives when a primary item is short — ranked by operator acceptance patterns, margin, and delivery feasibility.

Operational Intelligence

Route-Level Demand & Shrink Intelligence

Forecasting perishable demand by route and operator mix against weather, calendar, and historical pull rates — cutting shrink without stocking out on tight-window items.

Allowance & Rebate Realization Tracking

Monitoring brand-allowance and supplier-rebate programs in real time so tier thresholds, qualification periods, and deductions are all captured before quarter-end.

Pack/Case Working Capital

Balancing inventory investment across pack formats at each distribution center based on operator mix — not a national rollup that ignores regional menu patterns.

Dispatch & Cold-Chain Orchestration

Aligning delivery sequencing with customer receiving windows and cold-chain constraints so every route delivers on-time without burning driver hours or fuel.

ERP-Native Intelligence

Intelligence systems are embedded directly within core ERP platforms. No separate logins, no duplicate data entry, no workflow disruption. Systems operate where decisions are made — within the daily rhythm of order entry, dispatch, and settlement.

SAP
Epicor
Infor
Oracle NetSuite
Microsoft Dynamics 365
Sage

DistributorIntelligence ScoreTM

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Foodservice distribution is becoming operator-intelligent in real time.