EV Readiness & Adoption App

Welcome to the EV Readiness and Adoption app:Empower Seattle to improve EV charger coverage and EV adoption.
01 - EV Readiness Overview: District overview, KPIs & trends.
02 - EV Adoption app for incentives-driven growth.
EV Readiness app -District 34: high EVs, low chargers → ratio ≈ 75:1.
EV & Charger Growth forecasts
Zip Codes and Neighborhood coverage
Demographics
Agentforce assistance to ask question in plain English and get insights
Draft Email
City official requests an EV station estimate. Agentforce instantly searches documents and delivers the cost.”
A case is created to the city to captured the request and proper follow up.
City Official shares new EV project case in Slack.
In the Slack channel, the team uses Agentforce to interact with the TableauNext dashboard without leaving Slack.
Team queries TableauNext dashboard directly in Slack.
Switch to EV Adoption app → find ZIP codes & qualified leads asking Agentforce.
Team shares EV Adoption results + next best actions in Slack.
Tableau Next + Agentforce + AI (Agentic Analytics in Action) pushing the Salesforce experience to the next level
Databricks Dataset for EV Leads
Databricks Data Cloud Data Stream
Semantic Model w dataset references

Inspiration

As EV adoption accelerates, we asked: How are cities truly preparing for the electric future? We were inspired by the need to make EV infrastructure planning smarter, more equitable, and data-driven—starting with Seattle.

What it does

The EV Connectivity Readiness app consist of two components:

1) The EV Connectivity Readiness App analyzes Seattle’s EV ecosystem—charging density, grid capacity, adoption trends, and policy effectiveness—at the neighborhood level. Users can explore gaps, equity issues, and get AI-powered recommendations.

2) In addition, the EV Adoption App empowers officials to increase EV uptake through rebates and incentives, helping identify qualified residents, likelihood-to-buy scores, and outreach opportunities—ensuring underserved communities benefit from EV adoption.

How we built it

We used TableauNext with semantic modeling and Agentforce AI to connect multiple data sources—charging station locations, energy grid metrics, registration data, rebate programs, and policy scores—into an interactive, insight-rich experience. Stack: TableauNext, Salesforce, Data Cloud, Databricks, Slack, ChatGPT 5.0

Challenges we ran into

Sourcing and aligning datasets across zip code and districts was a key challenge. We also had to define meaningful, city-specific readiness metrics that balanced technology, equity, incentives, and energy constraints.

Accomplishments that we're proud of

We created an easy to adopt and implement app that transforms complex data into actionable insights—and designed it to be usable by policymakers, utilities, and community advocates alike. The addition of the Adoption app means we can now link infrastructure planning with consumer incentives, creating a complete pathway for EV growth.

What we learned

City readiness is more than infrastructure—it’s about planning, equity, and real-time intelligence. Adding adoption incentives showed us how the right agentic analytics tools can accelerate both infrastructure build-out and consumer adoption.

What's next for EV Connectivity Readiness App

We aim to expand the model to other cities, enable real-time data feeds, integrate climate impact forecasts, and scale the Adoption app to include state and federal rebate programs—empowering cities to become greener, faster.