AI-Powered Cross-Selling for TIPS – Case Study

Tips, a leading South American kitchenware retailer, was struggling to attract and retain customers. They sought to enhance the customer experience, increase sales, and optimize marketing efforts.

Industry: Retail
Business Type: B2B
Services: AI, BI, Predictive Analytics, Data Warehousing
Tools & Technology: Angular 18, Django 4, Langchain, OpenAI GPT

Critical Business Challenges

Missed Revenue Potential:
Ineffective cross-selling led to untapped sales opportunities.
Lack of Personalized Recommendations:
Customers received generic suggestions, resulting in a less engaging shopping experience.
Underutilized Inventory:
Diverse products were not being promoted effectively to the right customers, leading to slow inventory turnover.
Decreased Customer Loyalty:
The absence of personalized experiences weakens customer relationships and repeat business.

Navsoft’s Solution

Data Integration and Analysis:
We consolidated disparate data sources, including customer profiles, order history, and product information, into a unified platform, NavAI.
Customer Segmentation:
Using machine learning algorithms, NavAI segmented customers into distinct groups based on their unique characteristics and behaviors.
Personalized Recommendation:
NavAI develops tailored product recommendations for each customer.
Intelligent Interface:
The platform’s intuitive interface, powered by a Large Language Model (LLM) agent, makes it easy to access and leverage insights.