AI case study

EnecoMultilingual customer support

Traffic doubled, overwhelming a rigid chatbot. A new AI agent now resolves 70% more inquiries without human handoff.

Published|1 year ago

Key results

Monthly Chats
24k
vs 10,000 chats previously
Resolution Rate
67%
vs 40% with previous chatbot
Intent Recognition
95%+

Result highlights

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The story

Context

Belgium's largest solar energy producer and sustainable energy provider, serving over 1.5 million customers across consumer and business markets.

Challenge

Inbound traffic doubled during the pandemic and spiked again during the energy crisis, creating volumes that human agents could not manage. An...

Solution
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Scope & timeline

  • Agent build time cut from 6 months to 3 months

Quotes

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The company

Renewable energy producer and supplier for residential and commercial customers.

IndustryEnergy & Utilities
LocationRotterdam, ZH, Netherlands
Employees1K-5K
Founded1995

The implementation partner

Seamly logo

Seamly

seamly.ai
Role in this case study

Provided the integration platform for Eneco's live chat and built transactional workflows.

IndustrySoftware & Platforms
LocationTilburg, North Brabant, Netherlands
Employees11-50
Founded2014

The vendor

Enterprise software, cloud infrastructure, and consumer electronics platform.

IndustrySoftware & Platforms
LocationRedmond, WA, USA
Employees100K+
Founded1975

Use case

Eneco's Multilingual customer support is part of this use case:

Support Chatbot
223 case studies(+40% YoY)
Proven impact?
LowModerateVery Strong
5.1Strong
2.9Lowwithin Energy & Utilities
4.7Moderatewithin Customer Service

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