AI Price Intelligence - Data driven procurement
In short
Challenge
→ Our customer manages large purchasing volumes without a consolidated analysis, which reduces visibility into pricing.
As a result, price variations and deviations are hard to identify, and opportunities for improved negotiations and cost savings are missed.
Solutions
An analytics platform that:
→ Compares prices per supplier and product category
→ Identifies reasonable price ranges depending on external factors
→ Flags deviations
→ Provides decision support for buyers ahead of negotiations
Project results
→ By using machine learning and fine tuned models, we turn unstructured purchasing data into structured data that is easy to compare and analyze.
→ 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 built an AI driven price intelligence platform that turns over 300,000 yearly purchases into structured, comparable data. The platform helps buyers understand supplier and category prices, spot unusual prices, and prepare better for negotiations.
This leads to clearer price transparency, stronger negotiations, and better control of purchasing costs.
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.
