{
  "slug": "hershey-2026-08-24t06-1",
  "company": "Hershey",
  "headline": "Hershey deploys AI to optimize s'mores shelf performance across seasons.",
  "topic": "{Stash Edge — Retail & Shelf Play}",
  "source_name": "Modern Retail",
  "source_url": "https://www.modernretail.co/marketing/hershey-starts-using-ai-to-strategize-for-smores-season/?utm_campaign=modernretaildis&#038;utm_medium=rss&#038;utm_source=general-rss",
  "landing": "https://pops4-stash-edge.billing-010.workers.dev/articles/hershey-2026-08-24t06-1",
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      "body": "{Stash Edge — Retail & Shelf Play}\n◆ DIAMOND · AI-driven seasonal inventory and merchandising strategy · Hershey\n\nHershey deploys AI to optimize s'mores shelf performance across seasons.\n\nseasonal categories live and die on shelf timing. Most brands ship to retail and hope. Hershey is running predictive inventory placement — feeding AI the calendar, the weather, and store-level sales history to forecast the peak week, then telling retailers where to place product three weeks before demand hits. A smaller brand with one hero SKU can run the same play: pull 18 months of your own sales data by week and location, feed it into Claude or ChatGPT with next year's calendar, and get a month-by-month shelf placement recommendation to pitch to your retail partner. The message: 'We know when your customers buy this. Here's where it should live.' Beats asking for space with guessing.\n\nMy Stash Take on what it means for the rest of us →\nhttps://pops4-stash-edge.billing-010.workers.dev/l/t/li/hershey-2026-08-24t06-1\n→ Your Stash Room — your logo, live pricing, ships blind: https://pops4-stash-edge.billing-010.workers.dev/l/r/li/hershey-2026-08-24t06-1\n→ Proper imprints, done right at POPS4: https://pops4-stash-edge.billing-010.workers.dev/l/s/li/hershey-2026-08-24t06-1",
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      "alt_body": "{Stash Edge — Retail & Shelf Play}\n◆ DIAMOND · AI-driven seasonal inventory and merchandising strategy · Hershey\n\nHershey deploys AI to optimize s'mores shelf performance across seasons.\n\nseasonal categories live and die on shelf timing. Most brands ship to retail and hope. Hershey is running predictive inventory placement — feeding AI the calendar, the weather, and store-level sales history to forecast the peak week, then telling retailers where to place product three weeks before demand hits. A smaller brand with one hero SKU can run the same play: pull 18 months of your own sales data by week and location, feed it into Claude or ChatGPT with next year's calendar, and get a month-by-month shelf placement recommendation to pitch to your retail partner. The message: 'We know when your customers buy this. Here's where it should live.' Beats asking for space with guessing.\n\nMy Stash Take on what it means for the rest of us →\nhttps://pops4-stash-edge.billing-010.workers.dev/l/t/lh/hershey-2026-08-24t06-1\n→ Your Stash Room — your logo, live pricing, ships blind: https://pops4-stash-edge.billing-010.workers.dev/l/r/lh/hershey-2026-08-24t06-1\n→ Proper imprints, done right at POPS4: https://pops4-stash-edge.billing-010.workers.dev/l/s/lh/hershey-2026-08-24t06-1",
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      "body": "{Stash Edge — Retail & Shelf Play}\n◆ DIAMOND · AI-driven seasonal inventory and merchandising strategy · Hershey\n\nHershey deploys AI to optimize s'mores shelf performance across seasons.\n\nMy Stash Take →\nhttps://pops4-stash-edge.billing-010.workers.dev/l/t/bs/hershey-2026-08-24t06-1",
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      "label": "Substack · Fending",
      "title": "Hershey deploys AI to optimize s'mores shelf performance across seasons.",
      "body": "✍️ YOUR NOTE — write 2–3 lines to ONE person so they feel: \"this is about me… I could actually do this… I could make money from this.\" Energize them, make it yours. (This is the part that gets the opens.)\n[ your take… ]\n———\nHere is a real one you can run this week 👇\nPer Modern Retail, Hershey has begun using AI tools to maximize sales velocity of s'mores ingredients in stores — including its own chocolates and partner products — by anticipating demand and optimizing shelf allocation for seasonal peaks.\nHere's the cool part — the lever almost everyone misses (and you don't have to): seasonal categories live and die on shelf timing. Most brands ship to retail and hope. Hershey is running predictive inventory placement — feeding AI the calendar, the weather, and store-level sales history to forecast the peak week, then telling retailers where to place product three weeks before demand hits. A smaller brand with one hero SKU can run the same play: pull 18 months of your own sales data by week and location, feed it into Claude or ChatGPT with next year's calendar, and get a month-by-month shelf placement recommendation to pitch to your retail partner. The message: 'We know when your customers buy this. Here's where it should live.' Beats asking for space with guessing.\nWhat that means for you: seasonal categories live and die on shelf timing. Most brands ship to retail and hope. Hershey is running predictive inventory placement — feeding AI the calendar, the weather, and store-level sales history to forecast the peak week, then telling retailers where to place product three weeks before demand hits. A smaller brand with one hero SKU can run the same play: pull 18 months of your own sales data by week and location, feed it into Claude or ChatGPT with next year's calendar, and get a month-by-month shelf placement recommendation to pitch to your retail partner. The message: 'We know when your customers buy this. Here's where it should live.' Beats asking for space with guessing.\nIf you make, sell, or gift anything with your name on it — this is yours to run. You can do this.\n(Real, not theory — Modern Retail: https://www.modernretail.co/marketing/hershey-starts-using-ai-to-strategize-for-smores-season/?utm_campaign=modernretaildis&#038;utm_medium=rss&#038;utm_source=general-rss.)\n———\nOr — want it built FOR you? Your logo, your products, your own private room, priced and ready, in about five minutes. That's literally what we do →\nhttps://www.pops4.com/vip?utm_source=substack&utm_medium=newsletter&utm_campaign=stash",
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