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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. DRAFT AGENDA Demand sensing for short-term forecasting Using machine learning to detect signals from current data e.g. daily PoS What needs to be in place for demand sensing to be effective? Implications for planning cycles and processes 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 from member-recommended IN
  3. 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
  4. SCHEDULED: 27TH APRIL 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 u
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