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Case StudiesJanuary 20, 20263 min
Predictive Merchandising: Anticipating Market Trends with AI
How we predict which gadgets will sell out at major events by cross-referencing social query volumes and historical sales data.
Physical merchandising carries a huge risk: unsold inventory. Relying exclusively on a designer's intuition often doesn't pay off.
**Trend Spotting:** We analyze millions of comments and mentions on TikTok/Instagram associated with the interest niche. **Color Palette:** We find out if the community leans towards a "retro racing" or "cyberpunk" aesthetic in the last quarter. * **Inventory Management:** Predictive models estimate how many garments to produce per size based on event demographic registrations, cutting waste by 20%.
The digital and physical have never been so connected. And the bridge that connects them is data.
Crossing Physical and Digital Data
E-quipe's Merchandising division works closely with our Performance team. Before launching a production line for a major automotive event (like European rallies), we activate "Social Listening" tools powered by sentiment calculation models (NLP).The digital and physical have never been so connected. And the bridge that connects them is data.
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E-quipe Product
Digital Laboratory
