I Can Go Home In Time
Year launched
2025
Scope
AI powered visual assisted package retrieval
Timeline
2 years
THE MISSION: Eliminate the package search. Beat the heat and freeze. Perfect the grab-and-go. Deliver smiles, and get drivers home on time.
During a 10-year strategic UX workshop I led, we saw an opportunity to bridge the gap to the future. Instead of holding out for long-term autonomous / AI / robotics, we leveraged existing in-house technology to launch a high-impact Horizon 2 project that has immediate impact. I directed an external development consultancy to define the holistic design strategy, successfully collaborated the zero-to-one integration from initial concept directly into the production workflow.
THE MISSION: Eliminate the package search. Beat the heat and freeze. Perfect the grab-and-go. Deliver smiles, and get drivers home on time.
During a 10-year strategic UX workshop I led, we saw an opportunity to bridge the gap to the future. Instead of holding out for long-term autonomous / AI / robotics, we leveraged existing in-house technology to launch a high-impact Horizon 2 project that has immediate impact. I directed an external development consultancy to define the holistic design strategy, successfully collaborated the zero-to-one integration from initial concept directly into the production workflow.
THE PROBLEM SPACE: Package search is a simple task but when in extreme weather risks the safety of 100K drivers every single day, solving this is both a moral imperative and a massive business opportunity.
At every delivery stop, transporters spend valuable minutes searching the cargo area for the package. In extreme weather, these cumulative minutes escalate into a severe safety hazard and with summer temperatures in regions like Arizona frequently surging past 114°F (45.6°C) by noon. When you multiply this friction across 100,000+ daily transporters and 6.7 billion packages delivered annually in the US alone, it fundamentally shifts the strategic conversation. This is no longer just an operational bottleneck; it is an urgent mandate for a zero-to-one design intervention.
THE PROBLEM SPACE: Package search is a simple task but when in extreme weather risks the safety of 100K drivers every single day, solving this is both a moral imperative and a massive business opportunity.
At every delivery stop, transporters spend valuable minutes searching the cargo area for the package. In extreme weather, these cumulative minutes escalate into a severe safety hazard and with summer temperatures in regions like Arizona frequently surging past 114°F (45.6°C) by noon. When you multiply this friction across 100,000+ daily transporters and 6.7 billion packages delivered annually in the US alone, it fundamentally shifts the strategic conversation. This is no longer just an operational bottleneck; it is an urgent mandate for a zero-to-one design intervention.
THE JOURNEY: From a single sketch to a cross-functional conversation. From conversation to rigorous execution, and finally it is a zero-to-one pilot in the hands of the users.
Despite very limited resources, the product team secured funding, enabling our collaboration with a Boston-based consultancy. Working from a Boston station, we rapidly iterated on design using a low-fidelity working prototype within the station. Within three months, we transitioned to prototyping in a Ford delivery van. While the initial pilot with a single transporter revealed many flaws that are so valuable, the team was impressed by the overwhelming user positivity towards a simple, life-changing solution. Transitioning from the Ford van to the Rivian EDV allowed us to optimize for package/route capacity. This breakthrough enabled us to launch a small pilot with a few transporters running full route deliveries using the pre-Alpha prototype.
THE JOURNEY: From a single sketch to a cross-functional conversation. From conversation to rigorous execution, and finally it is a zero-to-one pilot in the hands of the users.
Despite very limited resources, the product team secured funding, enabling our collaboration with a Boston-based consultancy. Working from a Boston station, we rapidly iterated on design using a low-fidelity working prototype within the station. Within three months, we transitioned to prototyping in a Ford delivery van. While the initial pilot with a single transporter revealed many flaws that are so valuable, the team was impressed by the overwhelming user positivity towards a simple, life-changing solution. Transitioning from the Ford van to the Rivian EDV allowed us to optimize for package/route capacity. This breakthrough enabled us to launch a small pilot with a few transporters running full route deliveries using the pre-Alpha prototype.
THE POWER OF ITERATIVITY: This 0-1 journey is a masterclass, the interdisciplinary Design Thinking transforms scrappy phygital prototypes into a real-world pilot directly in the hands of transporters.
Despite very limited human resources, the product team secured funding, enabling our collaboration with a Boston-based consultancy. Working from a Boston station, we rapidly iterated on design using a low-fidelity working prototype within the station. Within three months, we transitioned to prototyping in a Ford delivery van. While the initial pilot with a single transporter revealed many flaws that are so valuable, the team was impressed by the overwhelming user positivity towards a simple, life-changing solution. Transitioning from the Ford van to the Rivian EDV allowed us to optimize for package/route capacity. This breakthrough enabled us to launch a small pilot with a few transporters running full route deliveries using the pre-Alpha prototype.
THE POWER OF ITERATIVITY: This 0-1 journey is a masterclass, the interdisciplinary Design Thinking transforms scrappy phygital prototypes into a real-world pilot directly in the hands of transporters.
Despite very limited human resources, the product team secured funding, enabling our collaboration with a Boston-based consultancy. Working from a Boston station, we rapidly iterated on design using a low-fidelity working prototype within the station. Within three months, we transitioned to prototyping in a Ford delivery van. While the initial pilot with a single transporter revealed many flaws that are so valuable, the team was impressed by the overwhelming user positivity towards a simple, life-changing solution. Transitioning from the Ford van to the Rivian EDV allowed us to optimize for package/route capacity. This breakthrough enabled us to launch a small pilot with a few transporters running full route deliveries using the pre-Alpha prototype.
THE REAL WORLD TRUTH: This zero-to-one journey is a true phygital product development masterclass. 13 seconds completes delivery, no less, no more!
Key UX and Work performance indicators: * -67% average cognitive load reduction (Mental: -62% vs. current system; Physical: -72% vs. current system) * 4.4/5 user satisfaction (impressive for a first full-route pilot with alpha prototype) * 30+ minutes average time savings per transporter per full route * Zero delivery rescue interventions for any pilot transporter
THE REAL WORLD TRUTH: This zero-to-one journey is a true phygital product development masterclass. 13 seconds completes delivery, no less, no more!
Key UX and Work performance indicators: * -67% average cognitive load reduction (Mental: -62% vs. current system; Physical: -72% vs. current system) * 4.4/5 user satisfaction (impressive for a first full-route pilot with alpha prototype) * 30+ minutes average time savings per transporter per full route * Zero delivery rescue interventions for any pilot transporter
TRANSPORTER ANECDOTES:
“I can’t believe, I can finish at 6PM and go home to celebrate birthdate with my sister" “Can we keep this in our vans for a longer time?
