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Supply chain & working capital

55% fewer emergency POs and 60% faster production planning

A $50M packaging maker linked open orders and BOMs to weekly raw material coverage.

Datachamps2 min read

About the client

Industry
Specialty packaging
Size
$50M revenue
Timeline
[X weeks]
Packaging: a smiling worker in a hairnet on a packing line

The challenge

Production requirements had to be worked out from undelivered sales orders, mapped to bills of materials, and turned into item-wise raw material needs. Clear ownership and regular updates of master data were key to making it work.

What it meant for the team

  • CFO

    Working capital tied up in the wrong raw material.

  • Controller

    Emergency purchases and express shipping eating into margin.

  • Planning

    No weekly view of coverage versus shortfall.

How we delivered it

  1. Step 1[X weeks]

    Advise and design

    • Set a data governance framework with clear master data ownership
    • Defined KPIs: weekly RM coverage, production shortfall, inventory turnover and order fulfilment rate
  2. Step 2[X weeks]

    Build and automate

    • Robust ETL and storage architecture
    • Calculation engine from open sales orders and BOMs to item-wise RM requirement
    • Automated reports with insights and recommendations
  3. Step 3[X weeks]

    Launch and embed

    • [Add go-live, training and adoption details]

Total timeline: [X weeks]

Solution stack

Advisory services

  • Data governance
  • Master data ownership
  • KPI definition
  1. Data sources

    • ERP sales orders
    • Bills of materials
    • Inventory
  2. Storage and transformation

    • ETL and storage
  3. Logic and workflow

    • RM requirement engine
  4. Insights delivery

    • Coverage dashboards

Impact

  • 55%

    fewer emergency POs and express shipments

  • 60%

    less time on production planning

  • Weekly

    raw material coverage and shortfall view

Outcomes

  • Fewer stock-outs and overstock, better working capital
  • Higher production efficiency and machine use
  • Faster planning decisions

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