Customers
Teams that fixed the record.
Enterprise procurement teams use Gainfront for supplier lifecycle management. Some keep their stack and add AgentFlow instead. Read how each team fixed its record.
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Case studies
Featured stories walk through a named engagement. The others follow one team through a single problem: the challenge, the approach, and the modules that fixed the record.
Case study · National Fuel
National Fuel achieves 98% data accuracy
Supplier data accuracy above 98%, with expected gains in RFP and onboarding efficiency.
Case study · Greenberg Traurig
GT Law cuts invoice management time by 27%
Invoice management efficiency improved 27%, with supplier data accuracy above 98%.
Case study · Thermo Fisher
Thermo Fisher: weeks to hours on federal reports
Supplier data visibility improved 90%, and federal reporting preparation dropped from several weeks to a few hours, before expansion in 2026.
Case study · Travel + Leisure Co. · Video
Data processing cut by more than half
Data processing time cut by more than half, with clearer reporting and faster decisions.
Case study · Onboarding
AI supplier onboarding
Onboarding that creates a usable supplier master, not a PDF graveyard.
Case study · Manufacturing · RFx
RFx from BOM
BOM-driven sourcing events that use a trusted supplier master.
Case study · Performance · Risk
Performance & risk scorecards
Scorecards that update the same record buyers and risk teams use.
Case study · Healthcare · Diversity
Healthcare supplier diversity
Diversity reporting leadership could defend: tied to real supplier IDs.
Case study · Contracts
Contracts management
Supplier agreements visible to procurement, not only legal.
Case study · Contracts · Data
Contracts & stream data
Contract content that feeds the supplier master instead of dying in PDF form.
Next step
Show us the mess.
We'll show you the record.
Thirty minutes with someone who has run procurement, using your data, framed for customer conversations.
A working session, not a pitch
Bring a raw spend export or supplier list and see your own data.
Replace or orchestrate
We'll say which path fits, including when neither one fits yet.
No homework required
Messy files are fine. Cleaning them up is the product's job.