TMS for Colombian Fruit Exporters: ROI Case Study 2026
A major fruit exporter in Urabá reduced logistics costs by 23% and product rejections by 67% after implementing a purpose-built TMS. This BOFU case study reveals exactly how they did it.
Company: AgroExport del Caribe S.A.
Location: Urabá, Antioquia with distribution centers in Medellín and Cartagena
Annual volume: 187,000 tons of bananas, avocados, and exotic fruits
Challenge: High rejection rates at European ports due to temperature excursions and documentation errors.
The Pre-TMS Situation (2024 Baseline)
- Logistics costs represented 19.4% of landed cost
- Rejection rate at destination: 14.2%
- Average 3.8 days of demurrage per month across fleet
- Manual Excel-based planning for 240 weekly containers
- Limited visibility once containers left Cartagena port
TMS Selection Criteria Used
The company evaluated six platforms with specific requirements for:
- Native cold-chain temperature monitoring and alerting
- Automated phytosanitary and origin documentation
- Integration with port community systems (Port of Cartagena)
- Multi-currency landed cost calculation
- Grower-to-port traceability features
Implementation Journey
The project followed a 5-month phased approach:
Phase 1 (2 months): Requirements, data cleansing, integration with existing ERP and reefer monitoring systems
Phase 2 (1 month): Pilot on European banana routes
Phase 3 (2 months): Full rollout including mobile apps for field inspectors and warehouse teams
Quantified Results After 10 Months of Operation
| Metric | Before TMS | After TMS | Improvement |
|---|---|---|---|
| Logistics cost per ton | $187 | $144 | -23% |
| Rejection rate at destination | 14.2% | 4.7% | -67% |
| On-time container loading | 61% | 94% | +54% |
| Demurrage & detention costs | $41,000/mo | $9,200/mo | -78% |
| Planning time per week | 34 hours | 6 hours | -82% |
| Carbon emissions per ton | 187kg | 141kg | -25% |
Total first-year ROI: 376%
Payback period: 3.1 months
Key Features That Delivered Results
- Dynamic temperature excursion prevention using IoT reefer sensors connected to the TMS that automatically adjust routes and pre-alert customers.
- Automated compliance engine that generates all export documentation (phytosanitary, origin, invoice) reducing errors from 11% to 0.4%.
- Collaborative portal for growers, inspectors, truckers, and port agents to update status in real time.
- Predictive ETAs incorporating weather, port congestion, and vessel schedules that improved accuracy from ±3 days to ±11 hours.
Lessons Learned for Other Exporters
- Invest early in master data quality — especially farm and cold room locations
- Secure executive sponsorship from both operations and commercial teams
- Include 3PL reefer carriers in the integration from day one
- Use change management techniques focused on field personnel, not just headquarters staff
This case demonstrates that specialized TMS platforms tailored for perishable export supply chains deliver some of the fastest and highest ROIs in the Colombian logistics sector.
Compare this case with our flower exporter TMS study
Is your fruit export operation ready for similar results?
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James Thornton leads industry case study research for Latin American logistics technology.
