ThingLogix > Case Studies > Transforming Legacy Business Process with IoT

Transforming Legacy Business Process with IoT

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 Transforming Legacy Business Process with IoT - IoT ONE Case Study
The Customer
Dependable Auto Shippers
About The Customer
Dependable Auto Shippers (DAS): A company that transports cars and other vehicles to commercial and individual customers throughout the continental United States.
The Challenge

DAS ran its operations on an aging on-premises legacy order management system, which experienced frequent outages and required regular maintenance and updates at considerable expense. The company's business processes also involved numerous manual steps that required significant staff time.

The Solution

ThingLogix helped DAS migrate its legacy system to a cloud=based Salesforce platform that incorporated automated processes to help the company track its logistics and manage digital inspection reports, saving the company time and money.

Data Collected
Downtime, Logistics Cost, Orders Processed, Vehicle Location Tracking, Vehicle Status
Operational Impact
  • [Data Management - Real Time Data]
    ThingLogix's solution enables DAS to send GPS data and vehicle condition data in real-time.
  • [Efficiency Improvement - Labor]
    Through tracking vehicles and managing terminals through automated processes, DAS was able to increase staff efficiency without adding headcount.
  • [Data Management - Data Transparency]
    DAS has been able to collect exponentially more data telated to its fleets and vehicles, including how fast they are moving, whether any damage occurred at any stage of the process, and the frequency of problems associated with specific carriers or termin
Quantitative Benefit
  • Through tracking vehicles and managing terminals through automated processes, DAS has eliminated 80% of the phone calls that were previously part of its work process.

  • Each customer service agent can now manage 25 to 30 orders simultaneously, whereas they could only manage 15 orders in the legacy system, which results in 15% saving on anticipated payroll costs.

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