01
Massive Data Volume
Daily ERP/SAP exports contained hundreds of thousands of purchasing records, making manual analysis slow and incomplete.
01 / The Business Challenge
Procurement teams were sitting on valuable data, but the opportunities were hidden.
The problem was not a lack of data. It was the distance between raw records and a procurement action worth taking.
02
Limited Supplier Price Visibility
Teams could not easily identify which supplier orders met the conditions for price negotiation.
03
Manual Follow-up Process
Price adjustment communication depended on spreadsheet checks, email follow-ups, and individual experience.
02 / The Solution
An AI-enabled procurement optimization platform built around the full cost-reduction loop.
Not a reporting tool. A repeatable operating process that turns purchasing data into prioritized supplier action and continuous optimization.
01
ERP / SAP Data
02
Data Processing Engine
03
Price Gap Analysis
04
Supplier Recommendation
05
Negotiation Communication
06
Continuous Optimization
Collect data → identify negotiable order items → recommend supplier actions → trigger communication → monitor outcomes
03 / Business Impact
The value was a repeatable way to act on the opportunity.
Based on current operating data, the platform identified a significant annual optimization opportunity and gave the procurement team a repeatable way to act on it.
100,000+
material order records screened daily
150+
negotiable order items identified daily
RMB 75M
annual optimization opportunity identified
RMB 15–22.5M
estimated annual savings potential
The most important value was not a one-time report. It was the creation of an ongoing procurement optimization capability.
04 / The Operating Shift
From manual analysis to a repeatable optimization workflow.
BEFORE
- — Excel-heavy analysis
- — Manual supplier comparison
- — Hidden price gaps
- — Reactive negotiation
- — Experience-dependent process
→
AFTER
- + Automated data processing
- + Supplier and material visibility
- + Prioritized opportunities
- + Structured communication
- + Repeatable optimization workflow
05 / Why This Matters for Manufacturing
Manufacturing companies already have the data. The challenge is turning it into action.
The AI research team helps move procurement teams from scattered records to decisions, actions, and measurable financial impact.
01
Better visibility
See supplier pricing and material-level differences more clearly.
02
Faster opportunity detection
Find cost-saving opportunities while they are still actionable.
03
Stronger execution
Give procurement teams a structured AI-enabled workflow to follow through.
06 / Continue the Conversation
Explore how your procurement data can reveal hidden optimization opportunities.
The AI research team helps manufacturing companies transform business data into measurable business value.
View the procurement workflow demo