Building a Better Business Intelligence Platform for EV Charging Developers
| dc.contributor.advisor | Johnson, Timothy Lawrence | |
| dc.contributor.author | Dreis, Andrew | |
| dc.contributor.author | Belcher, Harlan | |
| dc.date.accessioned | 2024-04-25T19:16:06Z | |
| dc.date.available | 2024-04-25T19:16:06Z | |
| dc.date.issued | 2024-04-25 | |
| dc.department | Nicholas School of the Environment | |
| dc.description.abstract | While working with NextEra’s Energy Mobility team we realized that there is inadequate data on commercial vehicle fleet locations in the US. This market intelligence blind spot slows down the sales process for EV charging infrastructure and associated services. Based on this discovery, we built a business plan for a software sales tool that could vastly expand the data pool available to companies who sell to vehicle fleets. This product rests on a novel computer vision approach to identifying vehicle fleets. The product, still in development, processes the type and number of vehicles in satellite imagery and then matches that data with business information, increasing sales efficiency. Further analysis revealed estimated market size, customers, competitors, and go-to-market strategy. Interviews with computer vision experts and industry players validated our findings and strategies. | |
| dc.identifier.uri | ||
| dc.language.iso | en_US | |
| dc.rights.uri | ||
| dc.subject | Electric vehicles | |
| dc.subject | Computer vision | |
| dc.subject | Business Intelligence | |
| dc.subject | Charging Infrastructure | |
| dc.subject | Sales Prospecting | |
| dc.title | Building a Better Business Intelligence Platform for EV Charging Developers | |
| dc.type | Master's project |
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