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Boost Your Bottom Line: Heale Labs Revolutionizes Data For Trucking
Manage episode 422341874 series 2923634
Вміст надано John Farquhar & Chris Harris, John Farquhar, and Chris Harris. Весь вміст подкастів, включаючи епізоди, графіку та описи подкастів, завантажується та надається безпосередньо компанією John Farquhar & Chris Harris, John Farquhar, and Chris Harris або його партнером по платформі подкастів. Якщо ви вважаєте, що хтось використовує ваш захищений авторським правом твір без вашого дозволу, ви можете виконати процедуру, описану тут https://uk.player.fm/legal.
Boosting Profits in Trucking with Healy Labs' Universal Data Integration
In this episode of the Trucking Risk and Insurance Podcast, Todd Haselhorst from Heale Labs explains how their technology can help trucking and logistics companies add 2% to their bottom line by integrating and standardizing data from multiple systems. Todd discusses the challenges of data management in the logistics industry and introduces Heale Labs' solution, which creates a universal data layer for real-time updates and streamlined operations. The episode covers how Heale Labs' network facilitates faster payments, reduces errors and fraud, and enhances overall efficiency, ultimately leading to increased profit margins.
00:00 Introduction to Saving 2%
00:26 Meet Tad Haselhorst from Heale Labs
00:44 The Problem with Data in Logistics
01:14 How Heale Labs Solves Data Issues
01:53 Real-Time Data Management
03:25 Practical Applications and Benefits
13:45 Fraud Prevention and Security
16:09 Adoption and Market Impact
19:50 Conclusion and Contact Information
Reach out to Heale Labs:
https://healelabs.com/
Todd Haselhorst, todd@healelabs.com
John Farquhar
Summit Risk Solutions: summitrisksolutions.ca
1 226 802-2762
John@summitrisksolutions.ca
Chris Harris
Safety Dawg Inc: safetydawg.com
Chris@SafetyDawg.com
1 905 973 7056
Keeping it Safety Dawg Simple!
#trucksafety #truckinsurance #truckpodcast
Do you need a "Truck Driver Safety Policy?" Get it today! https://safetydawg.com/policy
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