Applicable Industries
- Food & Beverage
- Transportation
Applicable Functions
- Logistics & Transportation
- Procurement
Use Cases
- Last Mile Delivery
- Vehicle Telematics
About The Customer
Wishlist.Delivery is a food delivery business based in California. It started as a side gig in December 2019 and by the end of 2020, it had turned into a full-fledged business. The company specializes in delivering time-sensitive food packages, particularly catering to food prep makers in the local Bay Area. As their business expanded, they faced challenges in route planning, managing multiple drivers, and accommodating last-minute changes during order fulfillment. These challenges made it difficult for them to meet customer demands and led to inefficient deliveries.
The Challenge
Wishlist.Delivery, a California-based food delivery service, faced significant challenges as it expanded from a side gig to a full-fledged business. The company specializes in delivering time-sensitive food packages, particularly catering to food prep makers in the local Bay Area. As their client base expanded, they grappled with issues such as manual delivery route creation, which was laborious and time-consuming. The process involved battling traffic, accommodating last-minute changes, and dealing with order fulfillment challenges. The manual delivery route planning process took more than 3 hours to complete and relied on guesswork to avoid traffic. As their business expanded, Wishlist.Delivery encountered difficulties in efficiently managing multiple drivers and calculating service time for each stop. They also faced challenges in accommodating new orders and last-minute changes during order fulfillment, which made it difficult to take more orders and meet customer demands, leading to inefficient deliveries.
The Solution
Wishlist.Delivery found a solution in Upper, an affordable and easy-to-use software that streamlined their delivery and order fulfillment operations. Upper offered a straightforward and automated solution for route planning and optimization, with the ability to add 250+ stops. It consolidated all essential information in one place, allowing Wishlist.Delivery to create optimized routes effortlessly. Upper also considered traffic, weather, road closures, and other delivery constraints to create optimized routes. It provided timely customer notifications and estimated time of arrival to keep customers updated. Upper's delivery reporting feature provided Wishlist.Delivery with invaluable insights, including stop durations and travel times between stops. This data enabled them to communicate effectively with their clients, suggesting optimal customer placements for enhanced efficiency. With Upper, Wishlist.Delivery was able to handle last-minute changes and take on more orders with confidence, leading to increased profitability.
Operational Impact
Quantitative Benefit
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