Bristol Myers Squibb cuts its RFP process to under 30 days with Globality's AI sourcing platform

Bristol Myers Squibb implemented a Procurement Analytics project in Pharmaceutical & Healthcare Supply Chain. As reported by Supply Chain Dive: Less than 30 days rfp cycle time, down from six to nine months on average.

Maintained by Peter Korpak, Lead EditorHow evidence is checked
Less than 30 daysRFP cycle time, down from six to nine months on average
More than $1 billionSourcing volume through the platform in the first year
Roughly 10 timesIncrease in RFPs run

Source-reported figures (cited source: Supply Chain Dive)

What Bristol Myers Squibb was trying to fix

Bristol Myers Squibb's procurement function was under pressure to speed up its processes and relied on fragmented, email-based workflows. Its request-for-proposal (RFP) process took six to nine months on average. A new chief procurement officer arrived with a mandate to modernize the function.

What Bristol Myers Squibb deployed

In June 2024 the company launched a procurement transformation focused on standardizing processes, improving capabilities and eliminating fragmented, email-based workflows. It then ran a soft launch in November 2024 with Globality, whose platform uses AI to automate key parts of finding and selecting suppliers, and scaled the technology organization-wide in February 2025. Rather than waiting for perfect data, the team has been getting its data right as it goes, and Rhonda Griscti says a key step is having a data lake so teams know where their data is.

Results

Griscti, the executive director of digital strategy and global process lead, says the RFP process went from six to nine months on average to less than 30 days. More than $1 billion flowed through the platform in the first year, far exceeding initial projections, according to Griscti. The transformation also enabled roughly 10 times more RFPs while bringing previously outsourced work back in-house with about 50% fewer resources, she says.

Key Takeaways

  • Start sourcing automation with a data lake that shows where data lives, and clean the data as the work proceeds instead of waiting for it to be perfect.
  • Use a soft launch before scaling a sourcing platform across the whole organization.
  • Standardize processes and remove email-based workflows as groundwork for AI in procurement.

Evidence for Bristol Myers Squibb's Procurement Analytics deployment

Reported outcome metrics
3 cited below
Cited source
Supply Chain Dive
Last updated
Source published
Source link checked

Share:

Details

AI Technology
Not available in record
Company Size
Enterprise

Have a similar implementation?

Share your customer's AI results and link it to your vendor profile.

Submit a case study →