See ShelfStorm in action

Real retail scenarios. Real buyer insights. Real results.

ShelfStorm AI analyzes your product like a retail buyer would — evaluating price, margin, competition, and shelf success potential in seconds.

Case Study: Protein Puff Snack

Snack categories are some of the most competitive in retail — especially in impulse and better-for-you segments.

ShelfStorm AI evaluates how your product stacks up against real shelf conditions, not just theory.

For this protein puff snack, the analysis highlights:

  • Competitive retail pricing within key success zones

  • Margin structure aligned with buyer expectations

  • Moderate SKU saturation with room to differentiate

  • Strong probability of buyer acceptance at retail

Readiness results 

Result: A strong candidate for regional launch with a clear path to mass retail expansion.

Case Study: Functional Beverage (Collagen Energy Drink)

Functional beverages involve complex pricing structures, distributor layers, and margin expectations — making retail placement more challenging than standard CPG items.

ShelfStorm AI evaluates your product against real shelf conditions, ensuring your pricing, margin, and positioning align with what buyers are actively looking for.

For this collagen energy drink, the analysis highlights:

  • Competitive retail pricing within optimal velocity range ($3.49–$3.99)

  • Margin structure aligned with distributor and retailer expectations

  • Positioned within premium functional beverage segment

  • Strong alignment with current health and wellness trends

Readiness results 

Result: A well-positioned premium beverage with strong potential for specialty, fitness, and regional retail expansion.

 

Unleash your retail potential

Whether you're a startup, an e-commerce brand expanding to retail, or an established CPG looking to optimize, ShelfStorm AI gives you the clarity and confidence buyers expect.

Stop guessing — start winning shelf space.