E-Shop Lovable app

E-Shop is a specialized sales dashboard designed specifically for fashion businesses to visualize and analyze their performance in real-time. I designed and built it on Bolt with an intuitive interface that transforms complex sales data into actionable insights, empowering fashion retailers and brands to make data-driven decisions that boost revenue and optimize inventory turnover in a fast-paced, trend-driven market.

Fashion businesses operate in a uniquely volatile environment where success depends on rapid response to trends, seasonality, and consumer behavior:

Fragmented Data Sources: Fashion retailers juggle data from multiple sales channels online stores, physical locations, marketplaces, and social commerce making it nearly impossible to get a unified view of performance without manual consolidation.

Trend-Sensitive Decision Making: Fashion moves fast. By the time businesses manually compile and analyze sales reports, trends have shifted, opportunities have passed, and inventory decisions are already outdated.

Lack of Actionable Insights: Generic analytics tools show what happened, but don't tell fashion businesses why it happened or what to do next—leaving critical decisions to gut feeling rather than data.

E-Shop delivers a purpose-built analytics platform that speaks the language of fashion retail:

Unified Sales Dashboard: Consolidate data from all sales channels into a single, real-time dashboard that provides an at-a-glance view of revenue, units sold, average order value, and conversion rates across your entire fashion business.

Product Performance Analytics: Drill down into individual SKUs, collections, categories, and styles to instantly identify bestsellers, slow movers, and emerging trends. Visualize performance by size, color, and price point to optimize your product mix.

Visual Trend Tracking: Interactive charts and graphs reveal sales patterns, seasonal trends, and customer behavior over time, enabling proactive inventory and marketing decisions rather than reactive scrambling.

Customer Insights: Understand who's buying what, when, and how often. Segment customers by purchase behavior, lifetime value, and preferences to personalize marketing and improve retention.