Forecast fashion trends and optimize inventory with AI-driven insights
Stylumia uses AI to predict what consumers will want in fashion, helping brands avoid overstocking and sell more at full price. It analyzes massive amounts of data to spot winning products and improve demand forecasting. This reduces waste and boosts sales velocity for retailers and brands.
Analyze consumer data to predict future fashion trends accurately
Identify winning products to enhance sales and reduce waste
Spot emerging fashion trends using AI and machine learning
Forecast demand to manage stock levels and improve turns
It uses proprietary AI and machine learning algorithms to analyze consumer demand data, with users reporting over 20% improvement in accuracy.
Over 100 brands and retailers in fashion, lifestyle, sports, and home industries utilize the platform.
By accurately forecasting demand and optimizing inventory, it reduces overstocking and has helped cut carbon footprints significantly.
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Recent data shows that Stylumia has 8.0K monthly visits (-42.4% decrease from the previous month), 44.0% bounce rate, and average 1.82 pages per visit.
Traffic is primarily driven by 6 different sources, with users from 5 countries worldwide, led by India contributing 65% of total traffic. SEO performance is shown by 5 tracked keywords, with "stylumia" being the top-performing keyword with 2.1K monthly searches. See below for more info.
Monthly Visits
8.0K
Pages per Visit
1.82
Bounce Rate
44.0%
Average Time on Site
16s
| SEO Keyword | Volume | CPC |
|---|---|---|
| stylumia | 2.1K | - |
| data is the new | 140 | - |
| fashion insights tiools india | 110 | - |
| stylumia的price | 20 | - |
| agentic commerce | 12.4K | $21.12 |
| Source | Traffic Share |
|---|---|
| Direct | 42% |
| Search | 38% |
| Social | 3% |
| Referrals | 16% |
| Paid Referrals | 1% |
| Country Name | Traffic Share |
|---|---|
 | 65% |
 | 21% |
 | 8% |
 | 3% |
 | 2% |
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