The same spend-classification engine, the same audit discipline, and the same dashboard architecture serve all five verticals. What flexes is only the benchmark data and the category taxonomy. That makes expansion a matter of data — not reinvention.
Your spend file doesn't need to be clean before we start. Turning raw transactions into a categorized, benchmarked dataset is the first thing we do — not a prerequisite you have to meet.
An entity-resolution model deduplicates suppliers; a classification model maps every line item to our category taxonomy; a QA layer flags low-confidence cases for human review. Data prep drops from days to hours.
A structured database of price, supplier, region, and category benchmarks captured from every engagement. Each audit makes the next one sharper — and over time becomes a comparison library no one can replicate.
A reusable Tableau or Power BI template with automated BLS PPI feeds and your benchmark database connected as a comparison layer — so the intelligence stays live after the audit ends.
Automated flags for above-market pricing, abnormal price moves not explained by index movement, and supplier-concentration risk. Pure analytical output — no LLM gimmickry.
12 months of spend collected and run through classification — supplier resolution, category mapping, QA review.
Every category measured against the vertical's public indices to find where you sit versus market.
Opportunities sized in dollars and ranked by ease of capture; supplier agreements reviewed for structure.
Written report — waterfall, opportunity matrix, supplier review — plus a 12-month plan and findings presentation.
The enterprise platforms advertise 15–30% savings with ROI guarantees. We don't. The honest, documented figure is 5–7% on direct construction spend and 10–20%+ on indirect categories where the data supports it.
Mid-market operators have heard the inflated claims and learned to discount them. They respond well to ours precisely because they sound careful — and because every number traces to a public source we can show you.
See your documented rangePer CNBA 2026 and BLS PPI analysis. Ranges, not guarantees.
Asset-intensive businesses share one trait: a high ratio of physical and operational spend to revenue, run through fragmented supplier bases by operators rather than dedicated sourcing teams. That's exactly where benchmarked intelligence is most valuable — and where enterprise platforms don't reach.
The only vertical where both halves of the cash cycle sit with one buyer. Supplier pricing and inventory performance are the same question — capital tied up in what you bought at the wrong price and are holding too long — and we benchmark both in a single engagement.
Inventory purchases, inbound & outbound freight, warehouse labor & equipment, packaging, 3PL, MRO, vendor rebate programs.
Omnichannel brands past $20M carry distributor economics with none of the distributor infrastructure — inventory spread across DTC, marketplace, and retail accounts, and a cost base built from contract manufacturing, packaging, and freight. We benchmark the sourcing side and the inventory side together.
Contract manufacturing & co-packing, raw materials, packaging & components, inbound freight & duty, 3PL and fulfillment, returns processing.
Proven methodology, deep benchmark coverage, and a category taxonomy built for the trade. The vertical where our data runs deepest.
Materials (concrete, steel, lumber, drywall), subcontracts, equipment rental, MEP systems, site & indirect.
A direct extension of the construction network — shared owners and assets, the operating-phase continuation of construction. Fully built out and benchmarked today.
Capital & tenant improvements, building systems, energy & utilities, janitorial, security, landscaping, R&M.
Shared owners and assets with construction and CRE — the same buildings across their operating life. Live and ready to benchmark.
Field labor, consumables & supplies, equipment, subcontracted trades, fleet & vehicle, uniforms & PPE.
A large, high-leverage market with a NAICS-aligned taxonomy and ISM-benchmarked categories — fully built out and ready to run on your spend.
Direct materials & raw inputs, MRO, packaging, inbound logistics, indirect & facilities spend.
Fuel and freight volatility hit margin directly — benchmarked against DAT freight rates and EIA fuel data, ready to deploy today.
Fuel, fleet acquisition & leasing, 3PL & freight, maintenance & parts, warehousing, indirect.
All sources listed are public and available at the tier required for client deliverables. Ibex Spend Intelligence is independent and is not affiliated with, nor compensated by, any supplier or any cited data source.
| Vertical | What we measure against | Status |
|---|---|---|
| Distribution & Wholesale | BLS PPI by NAICS · GMROI & turn benchmarks · Cass & DAT freight · rebate capture | ● Spend + inventory |
| Consumer Brands | BLS PPI by NAICS · sell-through & weeks-of-cover · parcel & freight indices · 3PL cost-per-order | ● Spend + inventory |
| Construction | BLS PPI construction inputs · NAHB · ENR Cost & Building indices | ● Ready to deploy |
| Commercial Real Estate | BLS PPI · BOMA operating-expense · ENERGY STAR · ENR capex | ● Ready to deploy |
| Facilities Services | BLS Employment Cost Index · BLS PPI services · contract rate benchmarks | ● Ready to deploy |
| Manufacturing | BLS PPI by NAICS · ISM manufacturing & prices · commodity & metals indices | ● Ready to deploy |
| Logistics & Transportation | BLS PPI transportation · DAT freight-rate indices · EIA fuel data | ● Ready to deploy |
Start with a no-cost review. We'll show you which indices we'd benchmark you against and where the savings likely sit.
