Happy Logistics
2024-2025
Client
Combustion Group
Context & Challenge
While Happy Meal Prep successfully streamlined kitchen operations, we quickly identified a secondary bottleneck: the “last mile” of delivery. For meal prep businesses sending out hundreds of bulk orders in tight weekly windows, relying on third-party couriers like UberEats (with their 30% margins) was financially unsustainable, yet managing an in-house fleet using spreadsheets and text messages was a logistical nightmare.
The challenge was to build a proprietary logistics platform that could rival the efficiency of tech giants without the exorbitant costs. We needed to solve for two distinct, high-stress user groups simultaneously: the business owners acting as dispatchers who needed bird’s-eye control, and the drivers who needed a safe, distraction-free interface to navigate complex delivery routes efficiently.
Vision & Goals
Our vision was to “democratize the last mile,” giving small, independent kitchens the same logistical superpowers as Amazon or GrubHub. We aimed to create a seamless digital thread from the kitchen to the customer’s doorstep, ensuring that the brand experience didn’t end when the food left the facility.
The product goals were centered on Optimization and Transparency. We needed to build an intelligent routing engine that could automatically batch deliveries to save fuel and time, while simultaneously providing customers with the real-time “Uber-style” tracking they had come to expect. The objective was to turn delivery from a cost center into a competitive advantage.
Process & Approach
To bridge the gap between digital planning and physical delivery, I led a “ride-along” research initiative, sitting in the passenger seat with drivers to document the friction points of their shifts, from glare on screens to the difficulty of handling bulk packages. I translated these physical constraints into a service blueprint that mapped the critical handoffs between the kitchen staff, the dispatchers, and the drivers, ensuring no data was lost in transition.
Leveraging the existing design system I built for the meal prep platform, I established a new “high-contrast” mobile framework specifically for the driver app. I prioritized accessibility and one-thumb interactions, prototyping complex routing flows that allowed drivers to manipulate their itinerary without distraction. This required close collaboration with the engineering team to define the logic for the routing algorithm, ensuring my designs for “smart batching” were technically feasible within our latency constraints.
Solution
I designed and shipped a dual-platform ecosystem: a robust web-based Command Center for dispatchers and a native iOS/Android app for drivers. For the Command Center, I architected a “management by exception” interface, creating a map view that visually suppressed on-time deliveries and only alerted owners to active issues, reducing their cognitive load by allowing them to focus solely on problems.
For the driver experience, I crafted a clean, modern interface prioritized for clarity and ease of use, ensuring drivers could navigate complex routes without distraction. I designed the interaction model to close the data loop instantly; when a driver snaps a delivery photo, it automatically triggers an SMS to the customer and updates the kitchen’s dashboard. This seamless integration transformed a disjointed manual process into a cohesive digital product that felt effortless for all three user types.
Impact & Reflection
The introduction of Happy Logistics closed the loop on the Happy Meal Prep ecosystem, resulting in a 30% reduction in delivery costs per mile for onboarded kitchens. By removing reliance on expensive third-party platforms, businesses retained their margins while achieving a 98% on-time delivery rate, drastically reducing customer support tickets related to “Where is my order?”
Reflecting on this expansion, the project reinforced the value of ecosystem thinking. By controlling the entire vertical: from meal production to final delivery, we built a defensive moat for our users. It proved that in the gig economy, the best user experience often comes from empowering the workers behind the scenes with tools that respect their time and safety.