ROI of Data Science — Real-Life Case Study with Amerit

Concept

Amerit is one of the country’s largest trucking fleet repair services. Every day, they do a few thousand maintenance jobs on delivery trucks for retailers and companies across the U.S.

That means lots of mechanics, and lots of repair jobs. 15,000 separate repair codes, to be exact!

While they’re an efficient operation, they noticed one specific bottleneck: errors. Sometimes, their mechanics make honest mistakes. Incorrect billings, wrong part numbers, false readings, and forgotten repairs. They have a team of a few dozen quality control people who manually review each work order (a few thousand a day!) to ensure they’re correct. 

Inside, You'll Learn

• How Amerit's painful first-in, first-out prioritization led to the same focus on a $6 potential error as a $6,000 one.
• The system that went beyond "This might be wrong" to confidently tell mechanics, "This is wrong, please fix".
• The projected six-figure annual savings and dramatic reduction in labor hours achieved without expensive Generative AI.
• A practical cheat sheet to calculate the potential ROI of AI for your own business processes.