How We Help Our Clients Reduce Spot Market Exposure by 50%

On May 15, 2018, we wrote about the first fully automated intelligent routing guide with dynamic rates in the US. That powerful tool enables shippers to automatically book a truck before the shipment turns into a spot load and has reduced spot volume for Fortune500 Shippers by as much as 50 percent. Loadsmart accepts 100 percent of tenders received from the dynamic routing guide, guaranteeing capacity. This feature helps shippers avoid the same-day/next-day markets, which are known for steep prices and service failures. Given the huge interest and questions we got from the logistics community, we decided to expand and explain the reasoning behind it and how it actually works in a granular way.

At Loadsmart, our mission is to do more with less. That’s why we innovated with a major customer to help them drive down their spot market exposure by 50 percent. We worked with our customer to help them do more with less by pushing market-based truckload rates into their TMS for every load that goes through their routing guide. Simply put, we do three things:

  • Provide real-time pricing on every load in the routing guide via API;
  • Auto-accept every tender we receive;
  • Guarantee capacity for all of those auto-accepted tenders.

This explains how we went from participating in a daily spot auction via email to a full-fledged integration with our customer to reduce spot volume.

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Intelligent optimization is the future of effective transportation management

As we’re approaching the Retail Supply Chain Summit: New York and I’m preparing for my panel conversation with supply chain managers from large retailers/manufacturers, a recent Deloitte study – Embracing a Digital Future – caught my eye.

According to the study, 79 percent of companies with high-performing supply chains achieve above average revenue growth. Yet, very few companies include supply chain managers in their boardrooms. Businesses that have applied big data analytics to their supply chain functions have seen a reduction in costs, improved risk management, shorter cycle times, more accurate forecasting, and an overall improvement when it comes to making informed decisions.

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