Real-Time Fashion Analytics Dashboard

Real-Time Fashion Analytics Dashboard

A data-driven analytics platform that unifies sales, pricing, and marketing performance in real time—empowering Pink Lily to make faster, smarter merchandising and advertising decisions.

A data-driven analytics platform that unifies sales, pricing, and marketing performance in real time—empowering Pink Lily to make faster, smarter merchandising and advertising decisions.

Pink Lily

Kentucky, USA

201-500

AI Integration

AI Integration

AI Integration

AI Integration

Client Overview

Pink Lily is one of the fastest-growing e-commerce fashion brands in the United States, specializing in women’s apparel and accessories. With a strong online presence and highly engaged customer base, the company’s success depends on responding quickly to market trends, managing pricing strategies effectively, and optimizing advertising spend.

As the company scaled, its expanding digital operations introduced complex data flows across marketing, pricing, and inventory systems. Leadership needed a real-time analytics solution that could centralize performance metrics and turn raw data into actionable insight.

Challenge

Rapid growth had created fragmented data silos across multiple tools and teams. Ad spend was being monitored separately from pricing and sales data, making ROI tracking inconsistent and limiting the team’s ability to react quickly to performance changes.

Without a centralized platform, reports required manual reconciliation and often lacked accuracy or timeliness. This limited Pink Lily’s ability to evaluate campaign effectiveness, test new pricing models, and forecast demand based on real-time sales signals.

The Insight

To build a unified fashion analytics platform that integrates pricing, sales, and marketing data into a single, real-time dashboard—supporting smarter budget allocation, faster decision-making, and more reliable performance tracking.

Solution

Centralized Data Architecture with Precog

We implemented a robust data integration layer through Precog, enabling automated ingestion of marketing, sales, and pricing data into one centralized repository for analysis and reporting.

Real-Time Pricing Intelligence Dashboard

Built an interactive dashboard that visualizes live product performance, ad spend ROI, and pricing elasticity—empowering teams to identify underperforming SKUs and react instantly to market shifts.

Automated Data Standardization

 Developed a consistent data model to reconcile disparate formats across systems, ensuring high accuracy and uniform KPIs across departments.

Strategic Data Visualization and Collaboration Tools

Introduced cross-functional dashboards accessible to marketing, finance, and merchandising teams, fostering alignment and enabling more coordinated strategy adjustments.

Impact

Improved Data Accuracy by 28%

Automated data standardization eliminated manual errors, creating a single source of truth that gave leadership greater confidence in pricing and marketing performance reports.

32% Faster Operational Decision-Making

Real-time dashboards and consistent KPIs enabled teams to act on performance insights immediately—reducing reporting turnaround times from days to hours and improving campaign agility.

Elevated Insight Depth and Market Responsiveness

With 24% more actionable insights generated per reporting cycle, Pink Lily’s merchandising and marketing teams could proactively adjust pricing and creative strategies to capture emerging trends faster than competitors.

Sucess Rate
Sucess Rate
Sucess Rate
Sucess Rate
0%

The Real-Time Fashion Analytics Dashboard became Pink Lily’s analytical backbone—transforming disconnected marketing and sales data into a dynamic ecosystem of visibility and control. The project empowered the brand to scale operations with precision and agility in a rapidly evolving fashion market.