Intelligent Transport Agency Manager
Grupo Cartes · 12 weeks
1.6M+
Tariff rows normalized
9+
Carriers integrated
<20s
Processing time
52K+
Postal codes mapped
Context
Grupo Cartes works with multiple transport carriers (DHL, GLS, TIPSA, Mensaluz, etc.) and needs to dynamically redistribute shipment volume.
The challenge
- Each carrier sends tariffs in completely different formats
- Objective comparison between carriers: practically impossible
- Requesting quotes: days-long manual process
- Redistributing load: manual, error-prone process
The solution
Automatic tariff normalization
AI (Gemini) interprets and normalizes disparate data structures from 9+ carriers, expanding geographic zones to 52,000+ postal codes. Result: 1.6M+ rows in a unified database, processed in under 20 seconds.
Dynamic load redistribution
Target distribution percentages, geographic exclusions, backup carriers and complete traceability.
Automated email bidding
Mass quote requests, intelligent response detection, visual offer comparison and award workflow.
Results
- Direct tariff comparison across all carriers
- Procurement process: from days to hours
- Redistribution without complex manual intervention
- Decisions based on objective data
Business impact
| Aspect | Before | After |
|---|---|---|
| Compare tariffs | Impossible (incompatible formats) | Instant (unified database) |
| Request quotes | Days of manual emails | Hours (automated bidding) |
| Decision basis | Subjective / personal relationships | Objective / normalized data |
| Geographic coverage | Partial | 52K+ postal codes mapped |
With 1.6M+ normalized tariff rows, cost comparison that was manually impossible is now instant. Carrier negotiations shift from relationship-based to data-driven.
Status: IN ADVANCED DEVELOPMENT
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