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storyNetherlandsConsumer StaplesProductivityRisk and complianceCapability

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Infor@FrieslandCampina

FrieslandCampina Uses Coleman AI for Order Management

FrieslandCampina, a consumer staples organization in the Netherlands, uses Coleman AI from Infor to support order to cash for order desk and finance.

When order management outgrew homegrown tracking, FrieslandCampina brought in Infor.

“Inside FrieslandCampina, order to cash used to depend on whoever still had the latest file.”
“Order desk and finance needed a system that would still make sense after the original project team moved on.”
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Independent write-up. Figures come from public sources or are illustrative.

Value results

CategoryValue result
ProductivityHandoffs in order to cash sit in a shared queue instead of a mailbox trail
Risk and complianceColeman AI is the governed place order desk and finance use for order to cash
CapabilityNew joiners can see how order to cash actually runs

Story

Inside FrieslandCampina, order to cash used to depend on whoever still had the latest file. That pattern is common in consumer staples groups working out of the Netherlands. Order desk and finance needed a system that would still make sense after the original project team moved on.

FrieslandCampina uses Coleman AI from Infor as the working layer for order management. Infor delivers industry-specific cloud ERP and supply chain applications for manufacturing, healthcare, hospitality, and distribution. The practical change is simple: order to cash has a home, and reviews happen there instead of in a forwarded thread.

Nothing in this writeup invents a savings number. What FrieslandCampina gets from Infor is a durable place to run order to cash and a way for order desk and finance to see the same order management at the same time.

Value Graph

FrieslandCampina uses Infor, Dataiku, Okta, Shopify. Shared with Adept, AES, Align Technology, APA, ArcelorMittal. Industry: Consumer Staples. Value: Productivity, Risk and compliance, Capability. Drag nodes, filter types, or expand a node to follow more commonalities.

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