Supply chain · Production

Blue Yonder space planning automates planogram generation for Dr Pepper Snapple Group, cutting process from 600 hours to 40

The problem

DPS's planogram generation was highly manual, requiring up to 600 hours and 10 people per cycle, limiting the team's ability to focus on category analysis and market trends.

Workflow diagram · grounded in source
1
User-defined information input
trigger
“Automatically generating planograms based on user-defined information”
2
Space planning optimization
ai_action
“Blue Yonder's space planning optimizes days of supply and increases inventory turns on an item-by-item basis”
3
Automated planogram output
output
“fully automated process that takes two people and about 40 hours to generate an equivalent number of planograms. Blue Yonder's solution accounts for bottler and fixture complexities, scales to an unlimited planogram quantity and leaves n…”
4
Retail planogram resets
output
“reset our retail customers' planograms twice a year or more, which many of our competitors just can't handle”
Reported outcome

DPS moved to a fully automated process requiring only two people and about 40 hours to generate an equivalent number of planograms, significantly increasing accuracy and enabling reduction in excess inventory and a boost in cash flow for retailers.

Reported metrics
Planogram process hours (before automation)600 hours
Planogram process hours (after automation)about 40 hours
Staff required (before automation)10 people
Staff required (after automation)two people
Show all 7 reported metrics
planogram process hours (before automation)600 hours
planogram process hours (after automation)about 40 hours
staff required (before automation)10 people
staff required (after automation)two people
accuracy ratesignificantly increasing accuracy rate
excess inventoryreduction in excess inventory
retailer cash flowboost in cash flow for the retailer
Reported stack
Blue Yonder
Source
https://blueyonder.com/customers/dr-pepper-snapple-group
Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

DPS moved to a fully automated process requiring only two people and about 40 hours to generate an equivalent number of planograms, significantly increasing accuracy and enabling reduction in excess inventory and a bo…

What tools did this team use?

Blue Yonder.

What results were reported?

Planogram process hours (before automation): 600 hours; Planogram process hours (after automation): about 40 hours; Staff required (before automation): 10 people; Staff required (after automation): two people (source-reported, not independently verified).

How is this supply chain AI workflow structured?

User-defined information input → Space planning optimization → Automated planogram output → Retail planogram resets.

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