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Found 6 results

  1. JP Doggett

    Measuring 'true' cost-to-serve

    until
    SKU rationalisation driven by volatile demand during the pandemic has brought greater focus on cost-to-serve analysis at an increasingly granular level. In tandem with IBP processes that forecast and plan by value as well as volume to enable better decision-making and reduced costs, cost-to-serve analysis must be able to pinpoint where efficiencies and opportunities can be found. Moreover, shareholders are increasingly demanding a 'triple bottom line' view of costs which include ESG / sustainability metrics. AGENDA Measuring 'true' cost-to-serve How to do cost-to-serve analys
  2. DRAFT AGENDA Supply chain sustainability & carbon reduction Sustainability & ESG metrics increasingly demanded by shareholders Incorporating sustainability for 'true' cost-to-serve analytics Highest leverage opportunities for carbon & waste reduction ABOUT INTENT DISCUSSIONS All discussions are private, held under the Chatham House Rule and moderated by INTENT with approx. 6-8 participants for 45-90 mins of candid, interactive discussion (not a passive webinar) Some discussions include subject matter experts f
  3. How granular can SKU level cost-to-serve analysis get to enable rationalisation and/or identify cost reduction opportunities?
  4. JP Doggett

    Machine learning for root cause analysis

    until
    Machine learning for root cause analysis Role of human bias in root cause attribution Highest potential applications: order processing, warehouse operations, customer delivery, vendor management? Moderated by Intent, this is an interactive discussion for practitioners to share experience and ideas. It is shaped by participants' input with opportunities to continue conversations with individual participants afterwards. Request to join* Would like to join but can't make the date? *we may adjust participation for an optimal discussion group
  5. Related to the question about future-proofing analytics capabilities, this is one of the first decisions to make that could open some avenues for future development but also possibly close others. What are the lead times and costs associated with each? What are the merits around use of open source analytics vs. pre-designed capabilities?
  6. Simon Inskip

    How to future-proof analytics capability?

    In a rapidly emerging world and operating context what are the right first steps that will enable an organisation to pivot to new capabilities whilst also creating a platform and structure that can support a large organisation which itself is still evolving and building core capabilities. For example, simple first choices around data lakes, which capabilities to invest in...
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