An intelligent e-auction is not just about price. It is about data, strategy, and fair competition that delivers measurable results – in this case, 27% lower.
An intelligent e-auction is not just about price. It is about data, strategy, and fair competition that delivers measurable results – in this case, 27% lower.
📘 Case study: When an e-auction delivers more than just financial savings
An electronic auction is not a magic button for savings. But when properly set up and included as one round of the tendering process, it can be a very powerful tool.
Let’s illustrate this with the example of selecting a supplier for cleaning services for a large facility. The contracting authority prepared the specification carefully, using both existing data and supplier ideas gathered during a preliminary market consultation. To maximize the effect of the e-auction, the contracting authority defined four evaluation criteria:
• unit price for different types of cleaning,
• price stability (in years),
• payment terms (in days),
• use of environmentally friendly cleaning agents (confirmed or rejected).
All three non-price criteria were transparently converted into monetary values, so suppliers knew, for example, that extending the price fixation by one year meant a bonus of €5,000. Similarly, payment in 30 days was the baseline, and for each extension of 30 days the supplier received a bonus of X €.
💻 In the auction room, the software recalculated in real time during the e-auction, so bidders could see exactly how changes in conditions affected their total offer.
🏁 Step-by-step competition process
• The preliminary phase involved 6 suppliers who visited the site, learned about the requirements, and proposed possible improvements, some of which the contracting authority included in the tender documentation.
• 5 bidders advanced to the first stage of selection, submitting initial offers in the required structure.
• The top 3 were selected for the next round, conducted as an electronic auction. The contracting authority allowed suppliers to take part in a “trial auction” to practice how to enter bids and see how changes would affect results. At the same time, the contracting authority explained very transparently why it was holding an e-auction, how it would guarantee fairness and transparency, how the results would be used, and why the chosen criteria had been set.
• The starting price for each bidder corresponded to their offer from the previous round.
• The auction lasted 15 minutes, with an automatic 2-minute extension if someone placed a bid in the last minute. Participants could see the best offer for each item and their overall ranking in the auction.
🧠 Tactics of individual players:
Each finalist chose a different tactic:
• The current supplier started relatively high and waited. They reacted to competition late, but aggressively. It was clear they had set a minimum price below which they would not go, because at a certain point they stopped and did not improve their offer further.
• The former supplier started with a standard bid and then reacted to competitors. Their strategy was first to reduce price and only then use non-price criteria. Their apparent aim was to win the contract “at any cost.”
• A new player immediately pushed the price down and stayed in the lead to create psychological pressure. They too had a minimum price, and once it was reached, they stopped participating in the auction.
📉 Result:
• The price dropped by 27% compared to the best initial offer, and non-price criteria were maximized.
• The winning price was 13% lower than the contracting authority’s internal estimate of the “fair price.”
🔍 Practical benefits:
• Compete not only on price – when suppliers know that eco-friendly products or better payment terms are reflected in the total value of the offer, they will look for ways to improve their bids comprehensively.
• Give suppliers the opportunity to try out the e-auction and understand the exact calculation of each criterion. Set safeguards in the system to prevent entering the wrong price.
• Prefer quality of bidders over quantity – three motivated suppliers are better than ten passive “seat-fillers.” If you include “shooters” who cannot deliver, you lose credibility.
• Know the commodity and the market – you must carefully prepare the specification and understand supplier motivation, while leaving the final negotiation to the market mechanism.
• Try new approaches – avoid routine and predictability in e-auction design. Combine different types of auctions and criteria, and consider splitting the contract volume among several suppliers to maintain competition in the supplier panel.
• Expect diminishing performance of repeated e-auctions.
🔗 Why Promitea?
Promitea is not just e-auction software. It is a complete sourcing platform that enables you to:
• combine multiple rounds of tendering (including preliminary consultation, qualification, negotiation, and e-auction),
• create templates so you set criteria only once and then launch auctions “with a single click,”
• use our extensive library of price and non-price criteria to optimize competition and avoid unnecessary mistakes,
• set your own formulas to convert qualitative parameters into points or money, or get support from the Promitea team,
• work in one environment, integrated into your ERP system, with a clear structure and without switching between different procurement tools.
Only a few owners and directors have truly deep experience in procurement—and even fewer with modern electronic tools, which are already standard in companies that manage procurement professionally.
When I look back today, in 2025, I feel a bit like a dinosaur who witnessed the rise of procurement digitalization from the front row, but somehow this incredible tool for improvement actually passed me by.
The key benefit of the digital transformation of procurement is optimization precisely in those areas where money leaks out of the procurement process.
Several companies tested automatic ordering through AI, whose task was to independently evaluate needs, place operational orders, and maintain optimal stock levels. The result often exceeded expectations — unfortunately, in a negative sense.
Return on investment within the first year of project implementation.*
*The ROI estimate is based on real data gathered from our clients and their successfully completed projects.
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