order_processing · manufacturing · workflow
Stora Enso improves OTIF delivery performance by 20% with Celonis order fulfillment automation
Stora Enso's order fulfillment relied on manual data search, manual email communication for order changes, and manual analytics, with no unified system for delivery scheduling or customer notification, threatening on-time delivery and customer experience.
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 · Process mining identifies pinch points
The in-house team used process mining to identify order fulfillment pinch points.
Tools used
CelonisCelonis Studioprocess miningSalesforce · partner
Outcome
Stora Enso achieved a 20% increase in OTIF performance, with 1,000 tasks managed through Celonis and 50% of users reporting reduced manual handling time. Order update delivery time dropped from several days to within one working day.
Results
Time saved50%
Volume1,000
Running sinceJanuary 2023
Grounding & classification
Source type: vendor customer story
31 fields verified against source quotes.
anomaly detectionpredictive analyticsemailpurchase orderhuman review describedmetric backednamed customerproduction runtime claimedtools describedworkflow describedmanufacturingaccuracy improvementcycle time reductionemployee productivitythroughput increasevendor customer storylogistics opsorder processingsupply chaindata sync enrichmentmonitor detect alert