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Case study · From the Pluris libraryReceipt no. 1833
What sucked

A leading manufacturing organization relied on a small group of long-tenured experts to answer customer service questions, interpret complex memos, and navigate decades of historical order data.

This created bottlenecks, slowed time-to-answer, and made onboarding harder for new and remote team members. More than 40 years of operational knowledge existed across legacy systems and individual expertise, but frontline teams could not access it quickly or consistently.

Manufacturing & IndustrialCustomer Service2–4 months
What they built

A custom AI assistant on a unified data layer that connects 40+ years of orders, customers, and products, and captures expert playbooks so reps get answers in natural language.

What changed
~75% less expert lookup time

A senior specialist reported that common tracking, status, and memo-search tasks that previously required jumping between systems were dramatically faster with the AI assistant.

Answers in seconds, not minutes

Frontline agents can retrieve historical order context and expert guidance in seconds instead of spending minutes searching legacy systems or escalating routine questions.

40+ years of knowledge made searchable

The solution connected roughly 400,000 orders, 10,000 customers, and 4,000 products, reducing dependence on tribal knowledge and strengthening onboarding for new and remote employees.

Time to results
2–4 months
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Who did it
Ekaterina Kouznetsova
Director of Marketing and Engagement, BlueLabel

Vetted by Pluris.