Customer Service Automation · Real-time Analytics · Supply Chain Optimization
PHOENIX group faced the complexity of a pan-European pharmaceutical distribution network, where manual transport-invoice checks, repetitive customer-service work, fragmented data and uneven digital maturity made it difficult to scale innovation consistently or improve operational efficiency across markets.
Reported impact
PHOENIX group embedded a repeatable AI delivery model into its digital transformation agenda, giving the company faster forecasting, lower manual processing effort, better service responsiveness and a scalable path for rolling proven AI products across Europe.
BCG helped PHOENIX group move from isolated experiments to an enterprise AI delivery model by creating the GenAI Factory, a structured operating system for choosing, building and scaling high-return use cases. The model links ideation, validation, MVP delivery and scale-up through cross-functional teams, ensuring only use cases with near-term business value move forward. The first wave combined multiple AI services on one backbone: an AI-Powered Inventory Cockpit for real-time visibility and forecasting, a Transport Invoice Validator for automated logistics-cost review, an AI Customer Service Agent for repetitive inquiries and a GenAI RFQ Machine for procurement automation. Built on existing data and cloud platforms, these products were designed as scalable digital services rather than one-off pilots. The resulting architecture ties forecasting, service automation, invoice validation and procurement into a single AI factory model that PHOENIX group can expand across Europe.
Operational data from inventory, logistics, customer-service and procurement processes feeds GenAI Factory use cases. Forecasting outputs surface in the Inventory Cockpit, logistics data is validated by the Invoice Validator, repetitive inquiries are handled through the AI Customer Service Agent, and procurement data drives automated RFQ workflows.
"AI Customer Service Agent to handle high-frequency queries and free human agents to focus on complex cases"
"AI-Powered Inventory Cockpit to give country teams real-time visibility and forecasting capability"
"By focusing only on high-return use cases, PHOENIX group has been able to turn prototypes into fully operational products within a year."
"Only use cases with clear, near-term business returns advanced"
"Together, they built the GenAI Factory"
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Scoring methodology
Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.
Traceability
Field coverage shows which facts each source supports. Dates are shown only when documented by the source.
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