Generative AI-based Adaptive Chatbot for e-commerce – uat-website.datacrew.ai

Client

A leading Indian denim and fashion brand with 1200 physical stores and Ecommerce platforms

Project Title

Modernizing Retail Intelligence for a Leading Indian Denim & Fashion Brand

Client

A leading Indian denim and fashion brand with 1200 physical stores and Ecommerce platforms

Problem

Outdated BI setup limited real-time visibility into sales and stock performance.
Siloed data across ERP, POS, e-commerce, and partner systems hindered unified analysis.
No insights into multi-brand outlet performance (e.g., Lifestyle, Max).
Complex discounting and partner credit settlements lacked transparency and automation.
Existing tools couldn’t support scalable, cross-functional decision-making.
Delayed reporting cycles reduced agility in responding to market and inventory shifts.

Solution

We deployed Qlik Sense as the central BI platform—offering scalable, self-service analytics capabilities to both corporate and regional users.
Consolidated data from previously siloed systems. This unified view allowed us to analyze performance across all channels and fulfillment models, including direct and third-party sales.
Dashboards for Channel-Wise Sales, Discounting & Credit Reconciliation. Custom dashboards were developed to provide real-time, role-based views
Using Qlik’s associative engine, we built a single, cohesive data model that linked products, transactions, partners, discounts, and payments.

Value Proposition

40–60% time savings in report generation and distribution
Improved decision accuracy through consistent, real-time insights
Higher user adoption due to intuitive dashboards and reduced manual effort
Faster response time to inventory or sales fluctuations due to up-to-date analytics