Agent · 02·b · Cost Transformation

Vendor footprint
optimizer.

Right-size the supplier base. Where the footprint is overbuilt, where it’s under-protected, and where consolidation creates risk instead of leverage — with the evidence to defend each move.

Most companies don’t have a supplier-count problem. They have a supplier-footprint problem — too many vendors in some categories, too much dependency in others, and no clear way to tell consolidation from concentration risk. Dashboards show counts and spend. They don’t say whether the footprint is right, where it’s wrong, or what action to take.

Four steps, one agent, one readout. Supplier master, spend, contracts, and risk data go in. What comes out is a category-by-category heat map and a defensible action plan — consolidate, diversify, dual-source, or leave alone.

01
Resolve
Supplier base

Duplicates, aliases, subsidiaries, and parent-company relationships get resolved — so one supplier counts as one.

02
Classify
What they do

Spend descriptions, contracts, and SOWs are read to identify what each supplier actually delivers — not just how they’re coded.

03
Diagnose
Overlap & risk

Vendors get clustered by real capability across BUs and regions. Tail spend, off-preferred leakage, and supplier, parent-company, geography, and site dependency are scored side by side.

04
Recommend
Heat map

Each category gets a plain-English recommendation: consolidate, rationalize, panel, diversify, dual-source, renegotiate, exit, or monitor.

The output

“Smaller where it should be smaller. Broader where it needs resilience. Defensible either way.”

Not a supplier count to cut by 30%. A category-by-category footprint call — with the overlap clusters, dependency scores, and contract evidence behind each one.

Vendor Footprint Optimizer · Heat Map
Where the footprint is wrong.
05 / 18
Suppliers vs. need · by category
Mktg agencies 47
IT staffing 22
Office supp. 9
Cloud infra 1
Spec. chems 1
Recommended action
01Mktg agencies: 47 suppliers, 23 overlap — preferred roster
02IT staffing: 16 of 22 do general contracting — panel of 5–7
03Cloud infra: 74% on one provider — contingency required
04Spec. chems: single-source, single-region — dual-source

See where your
footprint is wrong.

Next step
Request a sample run

A 20-minute working session. We’ll walk through what the optimizer produces from supplier, spend, and contract data.