{"id":394,"date":"2026-04-04T09:52:07","date_gmt":"2026-04-04T07:52:07","guid":{"rendered":"https:\/\/monikapieczonka.com\/?p=394"},"modified":"2026-04-13T19:04:41","modified_gmt":"2026-04-13T17:04:41","slug":"why-the-moving-feast-is-a-companiess-greatest-nightmare-and-how-to-change-it","status":"publish","type":"post","link":"https:\/\/monikapieczonka.com\/?p=394","title":{"rendered":"Why the Moving Feast is a Companies\u2019s Greatest Nightmare (and how to change it)"},"content":{"rendered":"\n

Navigating the Most Volatile Window in the FMCG Calendar<\/h3>\n\n\n\n

Easter is arguably the most complex <\/strong>period for any Forecasting or Demand Planning team. In my >5 years of international FMCG experience, I\u2019ve seen even the most sophisticated systems stumble during this “moving feast.” To manage it successfully<\/strong>, you need more than just data<\/strong>\u2014you need a deep understanding of the “Pattern” and the logistical friction that occurs behind the scenes.<\/p>\n\n\n\n

The “Moving Target” Problem: Why Algorithms Struggle<\/h4>\n\n\n\n

The primary challenge of Easter is its timing<\/strong>. The earliest possible date is March 22nd (Week 12)<\/strong>, and the latest is April 25th (Week 17)<\/strong>. This five-week variance means that seasonal patterns cannot simply be “copied and pasted” from the previous year<\/strong>.<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

While a human planner looks at the calendar and thinks, <\/p>\n\n\n\n

Ah, spring is here\u2014Easter is coming,<\/em><\/p>\n\n\n\n

a standard Machine Learning algorithm often fails<\/strong> to make that connection unless it is fed specific Independent Variables<\/strong>. Without a “Holiday” indicator or a system linked directly to global calendars<\/strong>, AI cannot proactively find these dates without human intervention. To get a reliable forecast, your Advanced Planning System (APS) must be “taught”<\/strong> that these weeks are outliers.<\/p>\n\n\n\n

The Cluster Complication: Navigating Regional Rules<\/h4>\n\n\n\n

Planning becomes significantly “messier” when you manage a cluster of countries <\/strong>rather than a single market<\/strong>. Take Iberia<\/strong>, for example:<\/p>\n\n\n\n

    \n
  • Spain:<\/strong> Thursday and Friday before Easter, and Easter Monday are off* <\/li>\n\n\n\n
  • Portugal:<\/strong> Friday before Easter is off.<\/li>\n<\/ul>\n\n\n\n

    *depending on the region<\/p>\n\n\n\n

    When estimating the impact, you must reflect the specific portfolio weights of each country<\/strong> within the cluster. In reality, it\u2019s even more granular: only certain regions <\/strong>might have bank holidays, and only specific locations<\/strong> may be operating. This makes it incredibly difficult to estimate a “blanket” impact at the country or cluster level. You must layer in seasonality<\/strong>, store traffic<\/strong>, changing consumer habits<\/strong>, and even the weather<\/strong> (which dictates whether people buy chocolate eggs or ice cream).<\/p>\n\n\n\n

    Operational Friction: The Warehouse vs. The Office<\/h4>\n\n\n\n

    There is often a disconnect between the “white-collar” plan and the “blue-collar” execution. The head office<\/strong> might be closed<\/strong>, but autonomous or highly automated warehouses<\/strong> might operate 24\/7<\/strong>, even adding Saturday shifts to clear the backlog.<\/p>\n\n\n\n

    It is vital to have the functionality in your system to flag specific Distribution Centers (DCs)<\/strong> that are making orders. We need to know exactly which nodes are generating shipments to ensure the “Golden Triangle” of Cost, Service, and Inventory<\/strong> remains balanced.<\/p>\n\n\n\n

    The 7-Step Strategic Recommendation: Keep the Conversation Going<\/h4>\n\n\n\n

    Success in Easter planning isn’t a “set and forget” task; it requires a recursive S&OP (Sales & Operations Planning) cycle. Depending on your product\u2019s shelf life and market specifics, I recommend this flow:<\/p>\n\n\n\n

      \n
    1. Gather Information:<\/strong> Collective data from Sales, Marketing, and Supply.<\/li>\n\n\n\n
    2. Conflict Detection:<\/strong> Identify where there are biggest conflicts issues (example – demand exceeds capacity)<\/li>\n\n\n\n
    3. Conflict Resolution:<\/strong> Finding the “middle ground” solution.<\/li>\n\n\n\n
    4. Alignment & Summary:<\/strong> Ensuring every department is on the same page.<\/li>\n\n\n\n
    5. Implementation:<\/strong> Lock the strategy into the execution system.<\/li>\n\n\n\n
    6. Results Review:<\/strong> Real-time tracking of the “Go-Live.”<\/li>\n\n\n\n
    7. Post-Mortem Analysis:<\/strong> Capturing the “Lessons Learned” for next year.<\/li>\n<\/ol>\n\n\n\n

      What Usually Goes Wrong?<\/h4>\n\n\n\n

      In the heat of the season, several execution traps<\/strong> tend to emerge. I\u2019ve categorized these from my years in the field:<\/p>\n\n\n\n

      Manufacturing & Supply Chain Hurdles<\/strong><\/p>\n\n\n\n

        \n
      • Late Labels:<\/strong> Seasonal packaging or labels delivered to the factory too late for the production window.<\/li>\n\n\n\n
      • Design Delays:<\/strong> Packaging artwork sitting with designers while the production line waits.<\/li>\n\n\n\n
      • The MOQ Trap:<\/strong> Minimum Order Quantities on seasonal SKUs forcing you to produce more than the market can absorb.<\/li>\n\n\n\n
      • The FIFO Conflict:<\/strong> Because of “First-In, First-Out” rules, warehouses ship regular products first, while the seasonal “Easter-labeled” stock sits at the back until it becomes obsolete.<\/li>\n\n\n\n
      • Capacity Blocks:<\/strong> Running a seasonal SKU often prevents the factory from producing the regular products.<\/li>\n\n\n\n
      • Shelf-Life Overproduction:<\/strong> Sites fearing a stock-out might overproduce regular items, leading to “short-coded” stock that customers refuse to accept.<\/li>\n<\/ul>\n\n\n\n

        Warehouse & Logistics Constraints<\/strong><\/p>\n\n\n\n

          \n
        • Resource Scarcity:<\/strong> Failing to estimate the exact manpower needed\u2014leading to either a “bottleneck” where shipments can\u2019t leave or “idle time” where staff have no work.<\/li>\n\n\n\n
        • Space Limitations:<\/strong> Most warehouses aren’t built to store a double inventory (both regular and seasonal peaks) simultaneously.<\/li>\n\n\n\n
        • Fragility Issues:<\/strong> Chocolate figures (bunnies, eggs) are hollow and easily crushed. Their value is entirely in their shape; if the “protection” fails, the product is worthless.<\/li>\n\n\n\n
        • The Transport Limit:<\/strong> You might have the stock and the people, but are there enough trucks? The market for freight tightens significantly during holiday peaks.<\/li>\n<\/ul>\n\n\n\n

          Co-Packing & Retail Challenges<\/strong><\/p>\n\n\n\n

            \n
          • Display Readiness:<\/strong> Seasonal SKUs meant for secondary placements (displays\/shippers) aren’t ready when the co-packer needs them.<\/li>\n\n\n\n
          • Transit Damage:<\/strong> Fragile cardboard displays often arrive at the store destroyed, leading to poor “on-shelf” execution.<\/li>\n\n\n\n
          • The Customer Complaint:<\/strong> Retailers refusing to take seasonal labeled products too early\u2014or too late\u2014leaving you with a stranded stock.<\/li>\n<\/ul>\n\n\n\n
            \"\"<\/figure>\n\n\n\n

            The Demand Pattern: The “Before” and the “After”<\/h4>\n\n\n\n

            Forecasting must analyze the pattern of orders across several years to estimate the “Easter Curve.”<\/p>\n\n\n\n

              \n
            • The Lead-Up:<\/strong> Key Accounts must feed Marketing activations and S&OP cycles with clear data on when the peak starts.<\/li>\n\n\n\n
            • The Post-Easter “Dip”:<\/strong> For categories like sweets and chocolate, expect a slump. People have “leftover fatigue.”<\/li>\n\n\n\n
            • The Post-Easter “Peak”:<\/strong> For staples like dairy, fruit, and fresh ready-to-eat meals, there is often a massive “refill” peak as consumers replenish their empty fridges.<\/li>\n<\/ul>\n\n\n\n

              The Human Aspect: Changing Lifestyles<\/h4>\n\n\n\n

              Easter planning isn’t just about the holiday; it’s about the break in routine<\/strong>.<\/p>\n\n\n\n

                \n
              • The School Effect:<\/strong> Kids leave school earlier. This causes an immediate drop in demand for products in vending machines and school kiosks.<\/li>\n\n\n\n
              • The Fresh Clear-Out:<\/strong> Distributors of fresh or dairy products will stop ordering much earlier to ensure they have zero waste during the “off” period.<\/li>\n\n\n\n
              • Remote Work & Travel:<\/strong> Many people take the days before Easter off or work remotely. If your product relies on “commuter traffic” (like office snacks or gym drinks), you must account for this migration.<\/li>\n<\/ul>\n\n\n\n

                Know Your Portfolio: The Three Types of Easter SKUs<\/h4>\n\n\n\n

                Finally, remember that not all products are created equal during this time:<\/p>\n\n\n\n

                Seasonal SKUs (In-Outs):<\/strong> Pure holiday products (e.g., Lindt Gold Bunny). They must appear and then disappear instantly.<\/p>\n\n\n\n

                  \n
                1. <\/li>\n<\/ol>\n\n\n\n
                  \"\"<\/figure>\n\n\n\n

                  Seasonal Labeled SKUs:<\/strong> The same product inside, but with a festive “Easter coat” (e.g., Baking Soda with a rabbit on the pack).<\/p>\n\n\n\n

                  High-Demand Staples:<\/strong> Standard SKUs that simply explode in volume due to tradition (e.g., Ricotta in Italy or Eggs in Poland).<\/p>\n\n\n\n

                    \n
                  1. <\/li>\n<\/ol>\n\n\n\n

                    Easter is a beautiful time for celebration. But for a professional planner, the real joy comes from a “Green KPI” dashboard on Tuesday morning, knowing that through collaboration and meticulous detail, the business went smoothly while everyone else was enjoying their break.<\/p>\n\n\n\n

                    <\/p>\n\n\n\n

                    Wishing you all happy Easter! <\/p>\n\n\n\n

                    \"\"<\/figure>\n","protected":false},"excerpt":{"rendered":"

                    Navigating the Most Volatile Window in the FMCG Calendar Easter is arguably the most complex period for any Forecasting or Demand Planning team. In my >5 years of international FMCG experience, I\u2019ve seen even the most sophisticated systems stumble during this “moving feast.” To manage it successfully, you need more than just data\u2014you need a […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_eb_attr":"","footnotes":"","_wpscppro_dont_share_socialmedia":false,"_wpscppro_custom_social_share_image":0,"_facebook_share_type":"default","_twitter_share_type":"default","_linkedin_share_type":"default","_pinterest_share_type":"default","_linkedin_share_type_page":"","_instagram_share_type":"default","_medium_share_type":"default","_threads_share_type":"default","_google_business_share_type":"default","_selected_social_profile":[],"_wpsp_enable_custom_social_template":false,"_wpsp_social_scheduling":{"enabled":false,"datetime":null,"platforms":[],"status":"template_only","dateOption":"today","timeOption":"now","customDays":"","customHours":"","customDate":"","customTime":"","schedulingType":"absolute"},"_wpsp_active_default_template":true},"categories":[6],"tags":[],"class_list":["post-394","post","type-post","status-publish","format-standard","hentry","category-forecasting"],"_links":{"self":[{"href":"https:\/\/monikapieczonka.com\/index.php?rest_route=\/wp\/v2\/posts\/394","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/monikapieczonka.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/monikapieczonka.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/monikapieczonka.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/monikapieczonka.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=394"}],"version-history":[{"count":4,"href":"https:\/\/monikapieczonka.com\/index.php?rest_route=\/wp\/v2\/posts\/394\/revisions"}],"predecessor-version":[{"id":531,"href":"https:\/\/monikapieczonka.com\/index.php?rest_route=\/wp\/v2\/posts\/394\/revisions\/531"}],"wp:attachment":[{"href":"https:\/\/monikapieczonka.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=394"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/monikapieczonka.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=394"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/monikapieczonka.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=394"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}