What problem does it solve?
A buyer who needs a supplier for an unfamiliar item starts with the vendors already in the supplier master and then with search engines, trade directories, referrals and phone calls. The result is limited by what the buyer already knows. When the market is niche, changes quickly or has to meet local certification, the search can take weeks and still miss capable suppliers.
The records on this page start from that position. Scoutbee's account of Linde Engineering says the team needed a supplier for a specific steam boiler within a few weeks, because of tendering deadlines for an external project, and doubted that its traditional suppliers could offer a competitive price. Audi was moving from diesel to electric industrial towing vehicles and had to find new suppliers for electric towing vehicles in a niche supplier market. Both searched wider than the existing supplier base, and both measured the result in how many suppliers were found and how much buyer time it took.
How does it work?
- State the requirement. The buyer writes what is needed: product or service, specification, required certificates, regions and volumes. The assistant turns it into search terms and filters, and asks for what is missing.
- Search the supplier data. The system searches a large supplier data set and returns candidates with a profile (location, size, capabilities, certificates, contacts).
- Rank and filter. Candidates are scored against the requirement, and duplicates and companies that do not fit a hard criterion are removed. The result is a longlist, with the reason each supplier is on it.
- Qualify. The buyer reviews the longlist, sends an RFI to the suppliers that look suitable, and the answers are added to each profile. Checks on risk, sanctions and financial health follow before any supplier is invited to bid.
- Hand over to sourcing. The shortlist moves into the RFQ or tender, and the suppliers, the communication and the choices stay in one project record for the next buyer.
- Audience
- Employee facing
- Autonomy
- Copilot
- Adoption
- Early adopters
- Channels
- Internal tools
What is it worth?
Benchmarks are computed from the public deployments below: one data point per organization per KPI, with who made each claim.
| KPI | Median | Reported range | Data points | Claimed by |
|---|---|---|---|---|
| Productivity gain | Too few to pool | 95% Not pooled: up to 90% | 1plus 1 up to | 1 vendor |
Value drivers: Employee productivity, Speed and cycle time, Lower cost to serve, Risk and loss reduction.
Indicative value
An industrial manufacturer that runs 120 supplier scouting projects a year
USD 27,000 to USD 302,400
Buyer time spent on supplier scouting avoided per year
How this is calculated
Formula: projects * hoursPerProject * reduction * hourlyCost. The low scenario uses every low input, the high scenario every high input.
| Input | Low | High | Basis |
|---|---|---|---|
| Supplier scouting projects per year projects, projects per year | 120 | 120 | The reference organization. Replace with your own count of new supplier searches. |
| Buyer hours per scouting project today hoursPerProject, hours per project | 15 | 40 | Editorial assumption for desk research, calls and building a longlist by hand. Replace with a time study from your own buyers. |
| Share of those hours the AI search saves reduction, fraction of hours | 0.3 | 0.7 | Conservative against the vendor reported results on this page (Scoutbee reports a 95% reduction in working hours at Linde Engineering and up to 90% less procurement workload at Siemens), because buyers still review and qualify every longlist. |
| Fully loaded buyer hour hourlyCost, USD per hour | 50 | 90 | Editorial assumption. |
What it leaves out: Counts buyer time only. It leaves out the price effect of a wider supplier pool, the value of a faster source for a delayed project, risk reduction from a second source, the platform cost and the work of qualifying and onboarding the new suppliers.
Who already uses it?
3 public deployments, strongest evidence first. Grades: A regulator or audit, B the organization itself, C vendor case study, D anonymous or estimate.
Siemens AG
Germany · Manufacturing · 2025
Siemens uses Scoutbee's AI platform to find and profile suppliers for procurement projects, from the short term identification of a second source to the screening of specific procurement markets and the selection of research partners and start ups. Scoutbee reports 94 completed projects for 18 business units, 6,893 suppliers identified and 283 quotations evaluated.
- Productivity gain: up to 90%
"Up to 90% reduction in procurement workload"
Claimed by: vendor
Audi AG
Germany · Automotive · 2020
Audi was moving from diesel to electric industrial towing vehicles and had to find new suppliers in a niche supplier market. Using Scoutbee's AI supplier search, a longlist of 57 potential suppliers was built, and seven suppliers sent a proposal within seven weeks. Scoutbee reports that the responsible purchaser spent six hours on the project and that 180 times more suppliers were screened than with conventional scouting.
No outcome disclosed.
Linde Engineering
Global · Manufacturing · 2020
Linde Engineering needed a new supplier for a specific steam boiler within a few weeks, because of tendering deadlines for an external project. Scoutbee's AI search found 567 suppliers, which were narrowed to 60 on a longlist, 24 pre qualified for an RFI and 8 on the shortlist. Scoutbee reports a 95% reduction in working hours for the buyers in the scouting process.
- Productivity gain: 95%
"95% reduction in working hours for buyers involved in the scouting process."
Claimed by: vendor
How do you implement it?
A model agnostic playbook: what to prepare, the order to build in, and what goes wrong.
Data you need
- A written requirement or specification for each search, with mandatory criteria such as certificates
- The supplier master, so that existing vendors and blocked vendors are recognized
- Qualification criteria per category (certificates, financial thresholds, regions)
- Past scouting projects, to test whether the tool would have found the chosen supplier
Systems to integrate
- Supplier data provider or search platform
- ERP or supplier master for existing and blocked suppliers
- Sourcing suite for RFI, RFQ and tender events
- Supplier risk and screening services
Complexity: Low
A copilot that returns candidates for a buyer to review needs no write access to the ERP. What it needs is a supplier data source that covers your categories and regions, a short list of qualification criteria per category, and a buyer who checks every shortlist before suppliers are contacted. Coverage of niche and local suppliers differs by data source and is worth testing on a past search.
- 1
Replay past searches
Take five to ten completed scouting projects and rerun them in the tool. Check whether the supplier that was chosen appears, how many new capable suppliers it adds and how much time it saves, before any real search depends on it.
- 2
Fix the qualification criteria
Write the mandatory and preferred criteria per category, such as certificates, regions and size, so the ranking reflects the buyer's rules and not the tool's defaults.
- 3
Run it beside the manual search
For the first live projects, search by hand and with the tool and compare the two longlists. Note which suppliers only one method found and why.
- 4
Connect the result to sourcing
Move the shortlist directly into the RFI or RFQ so suppliers do not have to be re entered, and keep the project record with the supplier answers for the next search.
- 5
Run risk checks before outreach
Apply sanctions, adverse media and financial health checks to the shortlist before any invitation goes out, using the organization's existing due diligence process.
Guardrails
- Every candidate shown with its source and the criteria it matched, so a buyer can check the profile
- No supplier contacted, onboarded or added to the supplier master without a buyer's decision
- Sanctions and risk screening before any invitation, outside the discovery tool's own scoring
- Contact data of individuals used only for the stated sourcing purpose and kept for a stated period
KPIs to instrument
- Buyer hours per scouting project, compared with a baseline from past projects
- Number of new qualified suppliers per project that were not in the supplier master
- Share of shortlisted suppliers that answer the RFI
- Days from requirement to a shortlist and to the first proposal
- Share of awards that go to a supplier the tool found
Human in the loop
The buyer owns the requirement, reviews the longlist, decides which suppliers receive an RFI and makes the selection. Category managers own the criteria and review, each quarter, which suppliers the tool found and which ones the team actually used.
Common failure modes
- Stale or wrong profiles
- A profile shows a capability or certificate the company no longer has. Verify certificates and capacity in the RFI answer before a supplier is shortlisted.
- Coverage gaps hidden by a long list
- The list looks long but misses local or niche suppliers the data source does not cover. Replay past searches and compare against the incumbent supplier base to find the gaps.
- A bigger pool nobody qualifies
- The tool finds hundreds of candidates and the team cannot assess them, so it falls back on known names. Set a longlist size, rank candidates and agree who qualifies them.
- Bias towards large, well documented companies
- Ranking favors suppliers with a large online footprint and misses small specialists. Review the ranking logic and include small and diverse suppliers deliberately where policy asks for it.
What are the risks and rules?
EU AI Act
Minimal risk
Searching for and profiling companies as potential suppliers is not listed in Annex III and does not decide on individuals, so only AI literacy duties apply. Supplier contacts are personal data, which brings GDPR duties on how they are collected and kept. Using the tool to profile individual people, for example sole traders or workers, would need a separate assessment.
Rules that apply
Guidance
- AI Risk Management Framework (National Institute of Standards and Technology, North America). Voluntary framework, with a generative AI profile, for governing and measuring AI risks such as inaccurate company profiles and biased ranking.
Controls to put in place
- Source and retrieval date shown for every supplier profile
- Documented selection criteria per category, owned by a category manager
- Log of searches, longlists and the buyer's decisions
- Personal data of supplier contacts limited to business contact details, with a retention period
- Periodic comparison of tool results with the buyers' own searches
Frequently asked questions
- How many suppliers does an AI search find compared with a manual one?
Scoutbee reports that its search found 567 suppliers for Linde Engineering's steam boiler requirement, which were narrowed to 60 on a longlist, 24 pre qualified for an RFI and 8 on the shortlist. For Audi it reports a longlist of 57 suppliers and that it screened 180 times more suppliers in a fraction of the time needed for conventional supplier scouting. Both are the vendor's figures, so replay one of your own past searches before relying on them.
- Does the AI choose the supplier?
No. It produces a ranked longlist with profiles. The buyer decides who receives an RFI, the RFI answers and risk checks narrow the list, and the award follows the normal sourcing process.
- How is this different from supplier risk monitoring or vendor due diligence?
Discovery finds and profiles suppliers you do not yet use. Due diligence and risk monitoring check the suppliers you have chosen or already use, so a discovery tool should hand its shortlist to that process before any invitation goes out.
How to cite this page
Blits.ai AI Use Case Library, "AI supplier discovery and scouting for procurement", last verified 13 October 2026, https://www.blits.ai/ai-use-cases/supplier-discovery-and-scouting. Licensed under CC BY 4.0. Method: how we verify use cases.
Changelog
- 13 October 2026: First published