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Sherpa Auto Transport

Sherpa Auto Transport is a nationwide auto transport brokerage founded in 2017 that specializes in shipping vehicles across the United States, including Alaska and Hawaii, with additional international services available through sister companies. Sherpa’s primary objective was to integrate AI capabilities to improve its pricing process and strengthen customer trust minimizing inefficiencies and unpredictability in quoting shipping rates.

Problem Statement

As Sherpa Auto Transport rapidly grew to manage over 100,000 vehicle shipments while staying true to its promise of fair and transparent pricing, it became clear that the old way of doing things wouldn’t keep up. Manually calculating quotes and dealing with constantly changing carrier costs was eating up time, creating unpredictable pricing, opening the door to disputes, and hitting a hard limit on how fast the company could scale. To keep delivering the trust and transparency customers counted on—while handling a surge in demand—Sherpa needed a smarter, more scalable digital platform built around automation and AI.

Problem Solution

Cplus Soft developed a custom AI-powered cost prediction engine that automates and predicts carrier cost estimation from one point to another, usually from manufacturer to buyer. The system leverages vehicle specifications, historical data, and shipping variables (car model, variant, weight, year of manufacturing, car DNA) to generate highly accurate cost predictions in real time.

Project Duration

5+

Months

40+

Screens

Tools Used

Results

15% boost in customer satisfaction

25% reduction in manual workload

95% faster quoting process

Conversion rates improved by 20%

30% reduction in pricing disputes

Accelerating growth through AI & software.

Our accelerated method for turning concepts into scalable digital solutions is called Cplus Velocity. Our team provides innovation quickly, from AI-driven automation to custom software and mobile apps, assisting companies in growing and remaining prepared for the future.