A large North American procurement platform connects thousands of public buyers with hundreds of thousands of suppliers. As it grew, the platform struggled to deliver relevant opportunities to suppliers.
Suppliers were overwhelmed with irrelevant opportunities. Matching accuracy was low, forcing users to manually sift through large volumes of RFPs to find what actually mattered.
At the same time, supplier data was inconsistent and incomplete due to manual onboarding. This made it difficult to personalize recommendations or improve matching quality.
Years of accumulated data across systems added to the problem. Redundant and poorly structured data slowed performance and made it harder to improve relevance over time.
The result: low engagement, reduced trust, and increasing risk to renewals and revenue.
What we did
We restructured core data used for supplier profiles and RFP matching. This included removing redundant records, standardizing key fields, and introducing monitoring to keep data quality stable over time. Without this step, improving relevance would not have been possible.
We improved onboarding by automating profile creation and enriching supplier data. Instead of relying on manual input, profiles became more complete and consistent, giving the platform a stronger basis for personalization and matching.
We redesigned how opportunities are processed and ranked. RFPs were summarized and categorized, and matching logic was updated to prioritize high-fit opportunities instead of volume. This helped suppliers quickly identify what was relevant without manual filtering.
Value delivered
Less Noise, Better Matches, Faster Decisions
Suppliers can now review opportunities 60% faster, reducing the effort required to find relevant bids. Improved data quality increased supplier profile coverage by 30%, leading to more accurate recommendations.
In parallel, a structured framework was introduced to assess over 1,500 applications, with clear pathways for rationalization. This reduced complexity, improved visibility, and enabled more informed investment decisions across the technology landscape.
