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    Supply Chain Management (SCM) Planning for Micro Labs

    Client : Micro Labs GmbH, Micro Labs
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    case study
    • Anaplan
    • Supply Chain
    • Pharma
    Problem Statement Problem Statement

    Micro Labs GmbH, is the German subsidiary of Micro Labs which is a global pharmaceutical firm operating in over 50 countries, faced significant operational hurdles due to a fragmented supply chain planning process. Managed largely through manual spreadsheets and disparate data sources, the company suffered from slow decision-making, a lack of visibility across its 14+ manufacturing facilities, and the absence of a "single source of truth".

    To sustain its growth and improve service levels, the organization required a scalable, real-time integrated platform to synchronize demand and supply planning across its manufacturing, sales, and operations teams.

    Key Challenges Key Challenges
    • Demand-Supply Mismatch: Approximately 5% of SKUs were out of stock every month.
    • Data Fragmentation: Three different data sources were used by three separate teams, resulting in no unified source of truth.
    • Manual Reporting: Generating critical penalty reports was a labor-intensive process requiring 2.5 man-days.
    • Inventory Risk: High risk was identified with 30% of SKUs having less than six months of coverage.
    • Operational Inefficiency: Integrating a new product into the system was slow, taking one full day.
    Architecting with the Best Tech Stack
    • Anaplan Logo
    Solution ImplementedSolution Implemented
    • Integrated Platform: Deployed Anaplan as a comprehensive analytics solution for end-to-end demand and supply planning.
    • Automated Data Ingestion: Utilized Anaplan Connect to automate secure data flow from SAP and 3PL systems, ensuring consistent data cycles.
    • Customized Analytics: Developed a tailored model with specific KPIs, grids, and dynamic variance reporting to meet varied user requirements.
    • Statistical Forecasting: Created a demand forecasting process that incorporates seasonality and out-of-stock scenarios at every granularity level.
    • Inventory Optimization: Implemented automated re-order triggers, safety stock levels, and inventory aging analysis to maintain adequate coverage.
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    Business Impact
    • Reporting Speed: Penalty and damage report generation was reduced from 2.5 days to less than 1 minute.
    • Integration Efficiency: The time required for new product integration was slashed from one full day to 30 minutes.
    • Operational Agility: Established a single source of truth, leading to improved fill rates, reduced stock-outs, and faster data-driven "what-if" analysis.

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