CLIENT Volvo
GOAL How can we maximize time and cost efficiency in construction transportation?
MY ROLE
Conducting user research
Facilitation workshop
Prototyping
Presenting & storytelling
THE TEAM
1 Business developer
1 Data analyst
1 Design lead (me!)
1 AI Business consultant
CONNECTING STAKEHOLDERS WITH REAL-TIME UPDATES
48 hours, 4 international Hyper Island students on distance modality, and 1 brief from Volvo. This Hackathon was all about team building, make fast decisions, and develop ideas!
OVERVIEW
Construction transportation enables three different stakeholders: manufacturers, operators, and construction managers. After quick research that included desktop research and quick interviews with truck drivers and site managers we concluded the following insights:
- Unpredictable time of deliveries due to the traffic of the city.
- Lack of storage and parking on construction site for unloading
- The site manager handles a lot of tasks at the same time
- The unclear split of responsibilities between manufacturers and site managers causing site congestion, the truck can not load/ unload and needs to wait for instructions.
- No real-time data on transported goods, leading to less than full deliveries and poor manpower planning for unloading.
IDEATION
With these insights, we started our ideation with several methods such as Crazy 8, "How might we", value proposition model, and mapping out user journeys.
THE CORE IDEA
Connecting the stakeholders, If people can see the information about what's going on in an organized way they can be more empowered to make better decisions on what to do if conditions change.
SOLUTION
Planning can be affected by countless events and rescheduling is a time consuming and stressful task. Let me introduce Volvo On-time a service that connects material providers, with drivers and site manager's agenda with real time updates. An AI tool that analyzes traffic, delays on deliveries, queues on-site, weather, etc and reschedule tasks on all stakeholders connected to the flow. It also shows the real-time position of the trucks.
