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Afcon-EV Case Study

Meet the Customer

Keynotes

  • Domain: EV charging operation (CPO)

  • Go-Live: Days

  • Time to Answer: Seconds

  • Data Stack: CPO platform + CRM/ERP + partner/roaming feeds

Challenges

  • Raw→Report overhead — too much time/energy from raw data to usable reports.

  • Cross-system visibility — charging sessions, crm and partners.

  • Need answers now — site/connector status, queue risk, SLA breaches in seconds.

  • Network analysis — pinpoint issues and faults.

  • Capacity & investment — where to add connectors/power upgrades first.

  • Minimal IT lift — integrate new domains fast; avoid heavy BI projects.

  • Data-driven decisions — shift to fact-based decisions despite previously limited data access.

Tango Solution

Tango delivered its app, integrated with the CPO’s operational data, and introduced a natural-language interface that returns insights in seconds—narrative, tables, or charts. Every answer is explainable and source-backed to site, connector, session, and partner entities. Data is not shared with LLM providers, with role-based access separating different users. Teams can spin up dashboards and schedule alerts/reports in a click.

Afocon (examples) Questions

  • Which connectors had over 50% downtime in August 2025

  • Drivers, energy, and revenue YTD—plus end-of-year forecast and growth rate

  • Which sites should we reinforce, and why

  • Which sites show recurring faults this month, and root causes

  • Which sites generate the most driver complaints

How Tango Moved the Niddle

We went live in days and now get answers in seconds—across sites, connectors, drivers, and partners—yielding faster fixes, smarter planning, and in-room decisions.

© Tango AI 2025

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