Results based on hard data
We show 4 selected cases where mathematics won over competition bluffs. We build every model based on real bids and rival behaviors, because numbers speak louder than hunches.
Recovering 14% margin in a fuel supply tender
For a client in the transport industry, we developed a model predicting the price aggression thresholds of four competitors.
Optimizing bids for 83 office properties
We applied game theory to determine optimal bid timing in a Dutch auction for a property manager.
Reducing IT contract negotiation time by 12 days
We digitized the offer exchange process by introducing the 'Best Alternative To a Negotiated Agreement' algorithm.
Winning a public tender for vision systems
Analysis of historical competitor bids allowed us to propose a price 4.2% higher than assumed, which was still victorious.
Your rival has already calculated their chances.
Don't wait for the competition's move. We will construct a model that shows how much you can realistically gain in the next tender.
We respond within 4 business hours. We respect your time.