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Case Study

Enhancing capabilities by digitally transforming stock allocation and demand forecasting model (Powered by SAP S/4 Hana)

GLOBAL CONSUMER GOODS COMPANY

Enhancing capabilities by digitally transforming stock allocation and demand forecasting model (Powered by SAP S/4 Hana)

Projects

Unilever

Published

13 Jan 2024

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A British multinational consumer goods company headquartered in London, United Kingdom. More than 400 Unilever brands are used by consumers worldwide and are currently sold in 190 countries, according them a turnover of €52 billion (2019). To fulfil a key imperative to improve dispatch rates and reduce lost sales, the company introduced an advanced available-to-promise (aATP) function which streamlined and automated the stock allocation process.

Key Challenges

  • Programme management to support >30 key client stakeholders and >10 different technical suppliers
  • Incongruent project expectations and comms breakdown between workstreams
  • Incoherent and inconsistent deployment deliverables and workflow between business and technical teams
  • Lack of ownership for vital deliverables leading to delays in implementation timeline
  • Integration issues with new and old digital systems leading to potential for business interruption

Our Solution & Strategies

  • Aligned project objectives, scope, resources and support needed with key stakeholders and sponsors
  • Co-ordinated communication cadence between sprints and defined ways of working to ensure effective teamwork
  • Ensured individual workstream activities were completed on time, supported with the appropriate resources
  • Facilitated conflict resolution between teams and led the team in working through project changes
  • Ensured key milestones and KPIs were monitored and achieved on schedule

Impact & Results

  • Improved decision-making framework and cut down on unnecessary, superfluous communication
  • Led with a clear direction, empowering teams to focus on individual streams
  • Successfully implemented aATP function which resulted in a streamlined order fulfilment process
  • Production and warehousing teams can successfully plan allocate resources with greater accuandracy
  • Seamless integration of work processes with the current system

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