back_office_ops · ecommerce · workflow
Unilever International uses monday.com AI to save 1,830+ hours annually across 250+ global projects
Unilever International's lean global team had no real-time visibility across projects — work was scattered across spreadsheets and slide decks, updates were manual and inconsistent, and leadership spent more time reporting on projects than delivering them.
How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · Weekly AI-supported stand-up
A weekly stand-up called 'monday on Monday' brings business analysts together to align on priorities within a live, AI-supported workspace.
Tools used
monday.com
Outcome
Unilever International achieved a 4x return on investment, saving over 1,830 hours annually by eliminating manual updates, status decks, and reactive follow-ups, with platform adoption exceeding 95% and weekly alignment reduced to just an hour.
Results
Time savedover 1,830 hours annually
Volume4x
Grounding & classification
Source type: vendor customer story
26 fields verified against source quotes.
anomaly detectioncontent generationdata extractionemailknowledge basemetric backednamed customerproduction runtime claimedproduction verifiedsource backedtools describedworkflow describedmanufacturingcost reductioncycle time reductionemployee productivitytime savedvendor customer storyback office opsincident managementinbox to systemmonitor detect alert