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Industrial & MRO

The most fragmented sector in distribution, where every branch is a capital allocation decision.

$625.9B

Sector Revenue

77,211

Companies

2.85

Inventory-to-Sales Ratio

32%

Gross Margin

Massive SKU catalogs, sporadic demand on long-tail items, and pricing complexity across millions of customer-product combinations define industrial distribution. Intelligence here means turning inventory, pricing, and demand data into decisions that compound — branch by branch, SKU by SKU.

The Structural Pressure in Industrial & MRO

Industrial MRO distribution is defined by massive SKU catalogs — often 100,000 to 500,000 items — where 80% move sporadically and demand forecasting is nearly impossible with traditional methods. The result is $2.85 in inventory for every $1 in monthly sales — the highest ratio in all of wholesale distribution.

Pricing complexity compounds the problem. Millions of customer-SKU combinations priced through static matrices that haven't been optimized in years. When manufacturing activity shifts, the downstream effects on inventory, pricing, and customer behavior are felt across every branch simultaneously.

Structural Challenges

Long-tail SKU proliferation

Manufacturing cycle dependency

Customer-specific pricing matrices

Multi-branch inventory allocation

MRO vs. OEM demand mix

ENGAGEMENTS

Intelligence That Moves Metrics

Representative engagements demonstrating applied intelligence in industrial & mro environments.

View More Engagements
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
IndustryIndustrial & MRO
Scale$265M Revenue
Duration20 Weeks
LocationUnited States
EngagementAI Consulting

Pricing & Quoting Intelligence

CHALLENGE: Forty-eight reps were making thousands of pricing decisions weekly with no structured guidance at the moment the decision was made. Margin feedback arrived after the fact — in monthly reports and quarterly reviews — weeks after the damage was done.

SOLUTION: We analyzed 24 months of transaction-level data across all 48 reps and 14 branches. The analysis confirmed that competitors weren't forcing prices down — the distributor's own pricing habits were. Intelligence was embedded directly into the Prophet 21 quoting workflow, surfacing margin impact on the same screen where the rep built the quote.

+160bpGross margin improvement
29%Faster quote turnaround
11%Revenue per rep increase
24%Discount variability reduced
View Engagement Details
IndustryIndustrial & MRO
Scale$145M Revenue
Duration20 Weeks
LocationCanada
EngagementAI Consulting

SPA & Rebate Intelligence

CHALLENGE: Supplier rebate programs are deliberately complex. Tiered structures, overlapping qualifications, and shifting terms create friction that structurally favors the supplier. The distributor that tracks meticulously captures full value. The one that tracks approximately — even with dedicated, experienced people — leaves money behind every quarter.

SOLUTION: We cataloged every active program's structure, terms, qualification rules, and measurement periods, then analyzed 24 months of purchasing data against them. The discovery phase included working sessions with both coordinators — who provided not just the spreadsheets but the institutional knowledge about supplier quirks, calculation disputes, and program history that no documentation captured.

$340KAdditional rebate value captured
94%Reduction in manual tracking effort
0Missed tier thresholds after deployment
12Supplier programs optimized through purchasing adjustments
View Engagement Details

Commercial Intelligence

Long-Tail SKU Pricing Optimization

Identifying the thousands of slow-moving SKU-customer price points where margin is leaking unnoticed — adjusting pricing based on elasticity, cost movement, and competitive position without impacting win rates.

Quote Response Prioritization

Scoring incoming RFQs by customer value, margin potential, and historical win probability — enabling inside sales to allocate their time to the quotes most likely to convert at the best margin.

Customer Wallet Share Visibility

Estimating how much each customer spends on MRO across all suppliers to identify accounts with the largest untapped share — showing sales teams exactly where the growth opportunity sits.

SPA & Contract Renewal Management

Tracking attainment against every active special pricing agreement in real time, flagging agreements approaching tier thresholds or expiration — so commercial teams capture every committed dollar.

Operational Intelligence

Stocking Location Optimization

Modeling demand probability at the branch-SKU level to decide what lives at each branch versus central stock versus drop-ship — turning a multi-million dollar capital allocation into a data-driven decision.

Sporadic Demand Sensing

Using external signals like manufacturing indices, customer maintenance schedules, and equipment install bases to anticipate orders for items that move unpredictably — reducing both stockouts and dead stock.

Rebate Attainment Optimization

Identifying supplier rebate programs closest to tier breaks and recommending purchasing adjustments that capture maximum rebate value — recovering money that would otherwise go unclaimed.

Vendor-Managed Inventory Performance Monitoring

Detecting when VMI arrangements are underperforming — when stocking levels drift from actual consumption, when service levels degrade, or when renegotiation would improve terms.

ERP-Native Intelligence

Intelligence systems are embedded directly within core ERP platforms used across industrial distribution. No separate dashboards, no duplicate workflows, no data synchronization challenges. Systems operate where decisions are made—within the daily rhythm of quoting, ordering, and branch operations.

SAP
Epicor
Infor
Oracle NetSuite
Microsoft Dynamics 365
Sage

DistributorIntelligence ScoreTM

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