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  1. until
    In the past few months, the cost of freight has hit sudden, all-time highs, rendering regular budget planning impossible. How can we get better visibility of costs to pre-empt and avoid additional expense? AGENDA Derisking freight cost volatility with e2e, SKU-level visibility What drives unexpected costs to your freight spend? Blind spots: what's preventing or limiting visibility and how can these be eliminated? Data sources: which sources are most reliable and practical for better visibility e.g. real-time satellite data or supplier updates? Examples of da
  2. until
    In the past few months, the cost of freight has hit sudden, all-time highs, rendering regular budget planning impossible. How can we get better visibility of costs to pre-empt and avoid additional expense? AGENDA Derisking freight cost volatility with e2e, SKU-level visibility What drives unexpected costs to your freight spend? Blind spots: what's preventing or limiting visibility and how can these be eliminated? Data sources: which sources are most reliable and practical for better visibility e.g. real-time satellite data or supplier updates? Examples of da
  3. Granular Cost to Serve (CTS) analysis Summary of a practitioner only discussion held on 5th February 2021 with members from AB InBev, Bacardi, Ferrero, British Sugar and ex-SCD currently working on a network optimisation project for a major agrichem company: Lessons learned: CTS initiatives have been broadly successful and been worth the investment CTS means different things to different people so important to be clear: it’s more than cost-to-fulfil and should incorporate gross price and margin Complex interdependencies means that brand-level analysis is too coar
  4. JP Doggett

    Data integration

    until
    Data integration Data integration is often the first step towards automation and digitalisation so which sources should be integrated? How? Addressing the fear of corrupting master data and future-proofing a data lake / pool 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 gr
  5. Takeaways and Key Points Participants Chair, JP Doggett, Intent Group Host: Claire Milner, Kinaxis Host; Dave Platt, Kinaxis Intro Volatility is not new. We need a new way to think about SC that enables us to be more agile. Being agile enough to deal with uncertainty is the goal. Is Covid a one off? We don’t know. It's about being ready for what comes. Agile tech, good process, all help prepare companies for what comes. What are the obstacles to dealing with volatility? Being target driven: facing up to the reality. Nobody wants to bring bad news. Pushing f
  6. What does a holistic / enterprise approach to ML/AI adoption look like?
  7. What are the common barriers for clients attempting to adopt ML/AI?
  8. Covid has highlighted for some that they must be able to to react quickly - clear need for greater agility. Fast moving times - business strategy can move on before plans can be modelled
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