AI-Driven Price Alert System to Slash Public Procurement Costs by 2026
December 14, 2025
Starting spring 2026, a price alert system will be embedded in UGAP to flag real-time price gaps, ensuring products are comparable and enabling rapid corrections to catalogues, with the goal of unlocking significant savings.
Public procurement totals around 230 billion euros annually for state and local authorities, with a strong emphasis on saving every euro.
The government will launch a 'price alert' in spring 2026 to detect aberrant public procurement spending and push for alignment to lower prices found in other channels.
Efforts to make procurement more democratic and understandable for citizens include enhanced price transparency and detailed data, with parliamentary work led by figures like Senator Simon Uzenat.
Reforms aim to pay fair prices, simplify procedures, and boost transparency, targeting 850 million euros in savings from public procurement in 2026.
Initial rollout targets UGAP, requiring public buyers to match or beat lower prices found elsewhere, leveraging professionalization of purchasers and artificial intelligence to speed up bid analysis.
The reform plan strengthens centralized purchasing, promotes mutualization of purchases, uses AI to streamline procurement, and prioritizes European-first sourcing where possible.
Minister responsible for Public Service and State Reform outlines an agenda to align purchases with the best price, tighten oversight of central purchasing bodies, and reduce waste.
A government official announced reforms after an investigation revealed costly discrepancies and opacity in purchases, including a kettle bought via a central purchasing body at well above market value.
The plan includes the Spaser framework to cut state-caused greenhouse gas emissions from purchases by 22% by 2027 and to increase the share of sustainable purchases with measurable indicators.
Buyers will be encouraged to obtain the best quality at fair prices, with plans to professionalize buyers and use AI to speed bid analysis.
There is a preference for French and European options in digital procurement to reduce vulnerabilities, citing a trans-European AI/public-procurement partnership involving Mistral AI and SAP.
Summary based on 3 sources