Sunrise Cafe New Haven Provide Non-Perishable, Shelf-Stable Meals

Sunrise Cafe New Haven

The Customer

Arthur Hunt
Arthur Hunt is the administrator at the Sunrise Cafe New Haven, which is a member of the Coordinated Food Assistance Network. They provide non-perishable, shelf-stable meals to about 2,000 low-income, food-insecure, high COVID risk families in and around New Haven, CT. Sunrise Cafe has been serving free breakfasts to the homeless since 2015.

Challenges

The Sunrise Cafe started utilizing deliveries to get more meals out to families. Prior to discovering Route4Me, Arthur wasn’t able to plan routes without predefining drivers or vehicle capacity.

Solution

Arthur tested out multiple routing apps and Route4Me came out on top. With Route4Me, The Coordinated Food Assistance Network was able to increase deliveries from 20 families to over 2,000 with the same staff and over 300 other volunteer drivers. Route4Me, helped the Sunrise Cafe keep up with demand and figure out the number of volunteers who needed to be recruited each week.

The product functionality is exactly what is needed, the ease of use is terrific and support is superb. The Route4Me team was extremely helpful. They answered all of my questions professionally and patiently. It is amazing what we have accomplished together. Thank you for being a terrific partner.

Arthur Hunt

Benefits

More food delivered around town to the homeless and tons of money saved using Route4Me.

Route4Me

Informazioni su Route4Me

Route4Me has over 40,000 customers globally. Route4Me's Android and iPhone mobile apps have been downloaded over 2 million times since 2009. Extremely easy-to-use, Route4Me's apps create optimized routes, synchronize routes to mobile devices, enable communication with drivers and customers, offer turn-by-turn directions, delivery confirmation, and more. Behind the scenes, Route4Me's operational optimization platform combines high-performance algorithms with data science, machine learning, and big data to plan, optimize, and analyze routes of almost any size in real-time.