Streamlining Forecasting & Optimized Dispatch

Fuel supply operators are often working to drive revenue in the face of slim profit margins while being challenged every day to balance supply and demand, minimize holding costs, and reduce the risk of runouts. The same questions cycle through the process: What fuel needs to go and when? Which sites need inventory, and which carrier is going to take it? All answers point to the same goal: Strike the right balance to avoid runouts and excess inventory.  

Making the best decisions depends on evaluating multiple streams of information; a process that has traditionally been done manually using notes and spreadsheets. Likewise, order dispatching has typically depended on phone calls, faxes, and mountains of paperwork to coordinate deliveries. Haulers charged with carrying fuel orders receive daily loads via email, with no easy way to adjust for terminal outages or optimize routes based on capacity, timing, or any number of factors that come up.  

Outdated, analog forecasting and dispatch methods create a perfect storm of inefficiencies, including communication delays and inaccurate data. Operators who orchestrate critical supply chain components using legacy systems can cause significant risks to their business, eating up time and leaving room for costly errors. 

Automation = Supply Chain Success 

For enterprise-level fuel operators and smaller companies alike, automation is the key to fuel supply chain efficiency and business growth. AI-driven algorithms can predict fuel sites’ needs. Universal dispatch systems can include carrier performance reports. Data-driven technology streamlines every step of the process, ensuring end-to-end accuracy.  

To learn more about how integrated automation powers success for retail fuel operators, check out our on-demand webinar: Forecasting, Optimized Dispatch & Everything In Between.

For a personalized demo of how Titan Cloud can streamline and optimize supply chain functions for your business, talk to one of our solutions consultants today.