Lykdat - Simplified Product Search & Recommendation
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Lykdat Brief Overview
Woven Insights (Lykdat) is an AI-powered analytics platform built for fashion-focused businesses (brands, retailers, merchandisers, and research teams) that want clearer, faster decisions without relying on guesswork. Instead of manually tracking competitors, checking pricing across dozens of websites, or trying to interpret scattered customer feedback, Woven Insights centralizes retail market signals and consumer sentiment into dashboards designed for merchandising and growth.
The platform is organized around two core areas: Market Insights (what’s happening in the wider fashion market—pricing, assortments, trends, best-sellers) and Consumer Insights (what shoppers are saying—sentiment, themes, reputation, and product-level feedback patterns). A standout element is its AI Insights assistant / natural language query, which helps explain what the data means so teams can move from “interesting chart” to “actionable decision.”
Overall, Woven Insights aims to support decisions like what to stock, how to price, what to design next, and how to position against competitors—using data that’s presented in a more business-friendly way than a typical raw dataset.
Simple How-to-Use
- Start with access: Choose Start Free Trial (if available for your plan) or Book a Demo for a guided walkthrough.
- Pick your focus area: Use Market Insights for competitor/trend/pricing discovery, or Consumer Insights for review and sentiment-based understanding.
- Filter to your real context: Narrow results by the market you care about (e.g., region/country), then filter by brand, retailer, category, color, and other product attributes to match your strategy.
- Explore dashboards for answers:
- In Market Insights, review pricing patterns, assortment structure, replenishment signals, and top-performing products.
- In Consumer Insights, review sentiment themes, product reputation cues, and product comparisons.
- Use AI assistance for clarity: Ask questions in natural language to get explanations, context, and direction on what the insights imply.
- Share and collaborate: Create shareable views or reports so merchandising, product, and leadership teams can align quickly.
- Go custom when needed: If your use case requires special sources or coverage, explore the business option for custom analysis and data sourcing.
Lykdat Key Features and Functions
- Competitive benchmarking: See how competitors price, stock, and merchandise comparable products.
- Product performance tracking: Identify what’s selling (and what isn’t) to support inventory and merchandising decisions.
- Pricing intelligence & price benchmarking: Understand market pricing ranges and competitor strategies to price more confidently.
- Assortment insights: Analyze assortments by features, styles, materials, and ranges to spot gaps and opportunities.
- Trend and replenishment signals: Track what’s being restocked and what’s gaining momentum to anticipate demand shifts.
- Color intelligence: Quantify how colors appear across assortments and categories to support design/merch planning.
- Consumer sentiment & reputation analysis: Turn customer feedback into themes and insights about fit, quality, aesthetics, and value perception.
- Advanced discovery & search: Find products via text search, image search, and URL search, plus strong filtering for faster research.
- AI Insights assistant (natural language query): Helps interpret dashboards and extract meaning without needing a data analyst for every question.
- Collaboration workflows: Share insights via user-friendly dashboards and reporting to align teams on decisions.
Pricing
- Individual Plan:$85/month with a 10-day free trial (cancel anytime; billing starts after the trial). Includes market behavior analysis across a large fashion retail dataset, AI-driven insights, price benchmarking, trend forecasting, product performance tracking, and standard support.
- Business Plan:Custom pricing (via demo/discussion). Includes everything in Individual plus custom AI-enabled market analysis solutions, consumer insights, custom data sources (such as additional retailers/brands/products), and engineering support.
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