Bidding Blindfold:Game Theory and Data Analytics in Procurement
Predictive pricing uses historical data to help suppliers determine optimal bids in competitive procurement processes, reducing the uncertainty and risk associated with overbidding or underbidding. However, the Winner's Curse can occur when suppliers overestimate their bids, leading to unfavorable outcomes. To mitigate this risk, suppliers can employ strategies like adding a risk premium. Data analytics enables suppliers to navigate demand and supply fluctuations by forecasting future trends. Challenges in implementing predictive pricing include competitor uncertainty and data availability, which can be overcome through collaboration, data gathering, and analytics tools. Collaborative strategies among suppliers for data sharing and insight generation enhance predictive pricing by increasing transparency, reducing bidding risks, and establishing a culture of trust.