Challenges
- Lack of adequate modeling data due to outliers and incorrect data
- High variation in carrier pricing for routes < 150 miles
Our client is a leading North American 3PL (Third Party Logistics) company that has a strategic partnership with Tiger Analytics for their digitization and analytics transformation journey (Roadmap 2023). As part of their Digital Freight Matching platform program, the client wanted to use AI/ML based Carrier Pricing model recommendation to improve the carrier price discovery.
2.5 % margin lift due to pricing engine usage, which resulted in improved sales conversion and significant EBIDTA
AI/ML based Carrier Pricing model enabled agents to negotiate better deals and provided detailed insights to improve operational and agent performance
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