Hershey has deployed AI forecasting tools to predict s'mores demand across retail locations and coordinate shelf placement of its chocolate bars alongside marshmallows and graham crackers before seasonal peaks hit, according to Modern Retail. The company reports the system has increased sales velocity by 20% during peak s'mores weeks compared to static merchandising.
The tool analyzes weather patterns, camping permit data, holiday calendars, and historical purchase data to predict when specific stores will see s'mores buying spikes. Hershey then works with retailers to build dedicated s'mores displays or endcaps in advance, bundling its chocolate with complementary products from other brands. The AI recommends optimal shelf allocation ratios — typically 4 chocolate bars per 1 bag of marshmallows and 1 box of graham crackers — and flags stores where demand will exceed baseline by more than 30% in a given week.
The mechanism works because s'mores purchases are tightly correlated with predictable external signals. Families buy ingredients 3-5 days before a camping trip or backyard fire. AI can spot the pattern earlier than manual buying cycles, giving Hershey time to shift inventory and secure premium shelf real estate before competitors. The bundled display also lifts basket size: according to Modern Retail, shoppers who see a dedicated s'mores section spend $8 more per trip than those hunting ingredients across aisles.
A small physical-product brand can run this play without enterprise AI. Start with one predictable seasonal spike tied to your product — pool openings for sunscreen, first frost for hand warmers, back-to-school for lunch containers. Pull free weather data from NOAA or local event calendars. Build a simple spreadsheet tracking your sales against those dates for two years. You now have a manual forecast.
Next, approach a retail partner with a pre-built display concept 4-6 weeks before your predicted peak. Offer to supply point-of-sale materials and co-promote a complementary product they already stock. Phrase it as a category play, not a favor: "We're seeing a 25% lift in [your product] sales the week before [event]. If we bundle with [their SKU], we can capture that early buy." Bring the POS print-ready and the endcap layout sketched. Most independents will test it if you remove the work.
Track sell-through daily during the peak. If your forecast holds, you have proof for the next retailer and the next season. Scale by adding one more store and one more predictable spike per quarter. The AI is just speed — the edge is knowing your customer moves before the shelf does.