A Food Manufacturer Gives 350 Staff Phone Access to Their Schedules with a Serverless IVR

Plant staff call one number, enter their clock number and hear their next three days of shifts.

Nov 29, 2019 Improve Self-Service
A Food Manufacturer Gives 350 Staff Phone Access to Their Schedules with a Serverless IVR

The Challenge

Around 350 plant staff needed to check their work schedules every day. Many did not have easy access to a computer or app, so the company needed a simple phone number staff could call.

No computer access

Many plant staff could not easily check a schedule online.

Simple to run

The service had to work without new hardware or servers to manage.

Tight deadline

A single-purpose service needed to launch quickly.

Our Approach

A fully serverless self-service solution on AWS, launched in November 2019.

Upload

  • Daily schedule upload
  • AWS-hosted database
  • Data ready

Call

  • Dedicated Amazon Connect number
  • Clock number entry
  • Caller identified

Hear

  • Lambda shift lookup
  • Amazon Polly readback
  • Next 3 days of shifts

Run

  • No servers to patch
  • Scales on demand
  • Live since 2019

The Solution

Serve7 built a serverless self-service line on Amazon Connect that reads each employee their upcoming shifts.

  1. 1 Simple upload An administrator uploads the daily staff schedule to an AWS-hosted database.
  2. 2 Call and identify Employees call a dedicated number and enter their clock number.
  3. 3 Shifts read aloud AWS Lambda finds the next three days of shifts and Amazon Polly reads them back.

Results

The solution launched in November 2019 on a tight timeline. Staff can check their schedule any time by phone, and the company has no infrastructure to maintain.

~350 Staff served daily
3 days Schedule look-ahead per call
Zero Servers to patch or maintain

A self-service line every plant employee can use from any phone, with no infrastructure to maintain.

About the Customer

The customer is a North American food manufacturer.

AWS services used

  • Amazon Connect
  • Amazon Polly
  • AWS Lambda
  • Amazon S3

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