AI Price Intelligence - Data driven procurement
In short
Challenge
→ Large purchasing volumes without consolidated analysis make it difficult to identify price variations, deviations, and negotiation opportunities
Solutions
An AI based analytics platform that:
→ Compares prices per supplier and product category
→ Identifies reasonable price ranges
→ Flags deviations
→ Provides decision support for buyers ahead of negotiations
Project results
→ Through machine learning and fine tuned models, structured and comparable data is created from unstructured purchasing data
→Data driven procurement decisions
→ Stronger negotiation basis
→ Clearer cost follow up
→ Identified savings opportunities
What’s in it for me?
What did we do?
We developed an AI driven price intelligence platform that transforms over 300,000 annual purchases into structured, comparable data. The solution analyzes supplier and category pricing, identifies reasonable price ranges, and flags deviations to support buyers ahead of negotiations. Built using Azure ML, Python, Cosmos DB, and MLOps pipelines, the platform enables data driven procurement decisions, stronger negotiations, and clearer cost follow up through increased price transparency.
Time saving
Automated analysis replaced manual price reviews, giving buyers instant insights across suppliers and categories and significantly reducing time spent on preparation and follow up.
Cost Reducing
Improved price transparency and deviation detection strengthened negotiation positions, uncovered pricing inconsistencies, and enabled identified savings opportunities through data driven decisions.
How it works!
So, how do we do it?
We applied machine learning and fine tuned models to transform unstructured purchasing data into structured, comparable datasets. An AI based analytics platform was built to analyze prices across suppliers and product categories, identify expected price ranges, and flag deviations.
The solution was implemented using Azure ML, Python, Cosmos DB, and automated MLOps pipelines, enabling scalable analytics, continuous model improvement, and reliable decision support for procurement teams.
Values
01
Business Value
Enabled data driven procurement with full price transparency across suppliers and categories, creating a stronger basis for strategic decisions and negotiations.
02
Efficiency
Automated price analysis replaced manual work, reducing preparation time for buyers and enabling faster, more informed decision making.
03
Accuracy
Machine learning and fine tuned models ensured consistent, structured, and comparable pricing data, improving the reliability of insights and deviation detection.
04
Cost Saving
Identified pricing inconsistencies and negotiation opportunities, leading to measurable savings and improved cost control.
