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Telos

Automated Phone Ordering

The customer's ordering service was very simple and repetitive. They had started offering an online ordering service but too many customers kept calling over the phone instead.

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Results

We created and AI that substituted attendees at a much lower cost and with a much higher availability. Callers could choose to talk to the bot immediately or wait inline for a human.

In the end Essilor only pays per usage meaning that costs actually follows demand avoiding large fixed cost payrolls.

The cost per call was between 50% and 70% lower.

  • Client: Essilor
  • Location: Rio de Janeiro, Brazil
  • Technologies:

      Python

      IBM's Watson Assistant

      Google's Speech to Text

      Rest APIs

  • Date: March 2020