Randstad finds 150% more relevant tenders with Forgent

“By using Forgent AI, we solve the problem of inefficient manual review, because the tool effectively pre-filters the enormous volume of hits in public procurement.”
Sandra Thörner
Head of Sales Development
The Challenge
Randstad is a leading global talent company, working closely with corporates and public institutions. For its public business, Randstad Germany wanted to make the screening and pre-qualification process for tenders significantly more efficient, without sacrificing completeness. The starting point was a setup in which relevant tenders were spread across many platforms, making review and qualification highly labor-intensive. Two themes stood out in the conversations:
Fragmented tender landscape & coverage risk: Randstad needed the assurance that no relevant tenders would slip through the cracks, and that coverage would at least match the level of existing solutions. Classic keyword search kept falling short.
High manual screening effort: The goal was to stop “clicking through” and instead see pre-sorted, relevant tenders first thing in the morning — complete with summaries and prioritization.
The Solution with Forgent
Randstad uses Forgent as an end-to-end platform for Find → Prioritize → Evaluate tenders.
Finder: find & prioritize tenders
Forgent bundles tenders from many sources and loads not just the notices, but the complete documentation, including regular updates. And creates AI summaries for fast initial assessment.
A customer-specific fit score prioritizes tenders based on Randstad’s profile.
A delta comparison (coverage vs. previous provider / reference lists) serves as a quality and completeness check.
“The precise filter function enables a pinpoint selection, while the calculated fit score delivers a fast and objective initial assessment of the match. The integrated suitability check is particularly noteworthy — it already shows great potential for our processes.”
— Sandra Thörner, Head of Sales Development, Randstad
Evaluator: assess tenders
For Randstad, different evaluation logics were explored (including no-go/triage and deeper analyses), with the goal of dramatically accelerating pre-qualification. The expectation: a substantial reduction in manual review time per tender, achieved through structured extraction of the relevant criteria from all documents.
Multi-Entity: collaborate as many on one platform
Randstad operates across separate legal entities. Forgent’s multi-entity function ensures that information, supporting documents (e.g. self-declarations, proof of insurance), and workflows can be used cleanly and clearly on a per-entity basis.
Results
✓ Finder: up to 153% more relevant tenders within two weeks
“By using Forgent AI, we solve the problem of inefficient manual review, because the tool effectively pre-filters the enormous volume of hits in public procurement.” — Sandra Thörner
✓ Evaluator: over 70% time savings in manual review
“A decisive advantage is the significant time savings in the initial assessment (‘separating the wheat from the chaff’), which lets us focus much faster on the tenders that are truly promising.” — Sandra Thörner
✓ Expertise & Support: “On top of that, the support stands out for its very high response speed and competent help with all our questions.” — Sandra Thörner