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

https://hdl.handle.net/10161/30548

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en_US

dc.rights.uri

https://creativecommons.org/licenses/by-nc-nd/4.0/

dc.subject

Electric vehicles

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Computer vision

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Business Intelligence

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Charging Infrastructure

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Sales Prospecting

dc.title

Building a Better Business Intelligence Platform for EV Charging Developers

dc.type

Master's project

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