Back office ops · Production
Blue Prism digital workers give Waitrose 400 hours back through automated pricing promotions
The problem
Managing rolling in-store promotions was time-consuming and kept Waitrose employees occupied with back-office work rather than serving customers on the shop floor.
Workflow diagram · grounded in source
1
Rolling promotion activity triggered
trigger
“the process of managing the rolling promotion activity was time-consuming and kept employees busy behind the scenes, instead of out front with customers”
2
Digital workers manage pricing promotions
ai_action
“Digital workers accurately managed pricing promotions, giving team time to focus on planning and forecasting”
3
Accurate and consistent processing output
output
“meet peak demand and process promotions accurately and consistently”
4
Team redirected to planning and forecasting
output
“giving team time to focus on planning and forecasting”
Reported outcome
Blue Prism digital workers gave Waitrose 400 hours back to the business and enabled the team to scale to meet peak demand while freeing employees to focus on planning and forecasting.
Reported metrics
Hours returned to the business400 hours
Peak demand handlingScale to meet peak demand
Reported stack
Blue Prism
Source
https://www.blueprism.com/resources/case-studies/inside-waitrose-how-rpa-is-transforming-retail/
Read source ↗Frequently asked questions
What did this team achieve with this AI workflow?
Blue Prism digital workers gave Waitrose 400 hours back to the business and enabled the team to scale to meet peak demand while freeing employees to focus on planning and forecasting.
What tools did this team use?
Blue Prism.
What results were reported?
Hours returned to the business: 400 hours; Peak demand handling: Scale to meet peak demand (source-reported, not independently verified).
How is this back office ops AI workflow structured?
Rolling promotion activity triggered → Digital workers manage pricing promotions → Accurate and consistent processing output → Team redirected to planning and forecasting.