Smarter retail engagement powered by our AI chatbot and CDP.

Our Client

As customer interactions increased across multiple channels, the retailer struggled to deliver seamless and personalized support. Fragmented data and high volumes of repetitive enquiries resulted in slower responses, generic interactions, and lower engagement and retention.

Challenges

The challenges our client faced

As customer interactions increased across multiple channels, the retailer struggled to deliver seamless and personalized support. Fragmented data and high volumes of repetitive enquiries resulted in slower responses, generic interactions, and lower engagement and retention.The company faced several key challenges:

  • Customer information was scattered across websites, social media platforms, and CRM systems, making it difficult to maintain a unified customer view.
  • The lack of integrated data limited the ability to understand customer behavior or anticipate intent.
  • Support interactions and product recommendations were often generic, reducing engagement and conversion rates.
  • Customer support teams were overwhelmed by large volumes of queries related to order tracking, returns, and product information.
  • Response times were delayed during peak periods like sales and holiday seasons.
  • Limited proactive outreach reduced opportunities to improve customer loyalty and repeat purchases.

Solution

A unified solution combining the Lola conversational AI chatbot with the Customer Data Platform.

Our advanced conversational AI chatbot

We partnered with the retailer to deploy Lola, our advanced conversational AI chatbot, to enhance customer support and engagement. By integrating Lola with the Customer Data Platform (CDP), the retailer was able to deliver highly personalized, data-driven customer experiences.This integrated solution provided several key benefits:

AI chatbot for retail personalization

Unified Data

Unified customer profiles by consolidating data from websites, social media platforms, and CRM into a 360° view.

unified customer data platform for retail brands

Personalization

Personalized chatbot interactions using browsing history, purchase patterns, and preferences.

AI personalization solution for retail businesses

Response Automation

Automated responses to FAQs about orders, returns, payments, and product information.

AI chatbot with customer data platform for ecommerce

Recommendations

Proactive product recommendations to boost cross-sell and upsell.

retail personalization strategy using AI and CDP

Real-time Sync

Real-time order updates through integration with order management systems.

retail AI chatbot with data integration solution

Customer Segmentation

Segmented customer lists for targeted campaigns based on value, risk, and behaviour.

real time customer engagement with AI chatbot retail

Analytics

Real-time analytics to track sentiment, engagement, and campaign effectiveness.

AI powered customer engagement platform retail

Timely Escalation

Complex inquiries were escalated to live agents with full context for seamless support.

Our advanced conversational AI chatbot

We partnered with the retailer to deploy Lola, our advanced conversational AI chatbot, fully integrated with the Customer Data Platform (CDP) to unify fragmented customer data into a single 360° customer profile.

CDP software for retail companies

Integration

This integration consolidated information from the website, social media, and CRM.

CDP for personalized customer experience in retail

Personalization

Enabled Personalized, context-aware conversations

how AI chatbot improves retail personalization

Contextual Responses

Automated responses to FAQs, and real-time order updates across channels

retail customer data platform solutions

Timely Escalations

Escalated complex queries with full context

personalized customer engagement retail AI

Insights

Using CDP-driven insights, Lola delivered highly Personalized interactions

AI chatbot with CDP integration

Recommendations

Provided product recommendations based on browsing and purchase behaviour

retail personalization using AI

Proactive

Enabled proactive outreach to key customer segments.

customer data platform for retail

Targeted Campaigns

The retailer used segmented lists and real-time analytics to run targeted campaigns and systematically improve engagement, repeat purchases, and cross-sell and upsell opportunities.

Result

By combining Lola with the existing CDP, we transformed customer support and engagement for our client:

  • Customer engagement increased by 35% through personalized interactions.
  • 60% of routine inquiries were automated, reducing manual workload.
  • Response times improved by 70%, even during peak traffic.
  • Repeat purchases grew by 25% due to personalized recommendations.
  • Cross-sell and upsell opportunities improved with targeted suggestions.
  • Real-time analytics provided actionable insights to optimize marketing campaigns.

A growing telecommunications firm with a presence across multiple U.S. regions.

Results

By integrating Lola with the existing Customer Data Platform (CDP), we significantly enhanced customer support and engagement for the retailer.

35%worktual

Increase in Customer Engagement

Personalized interactions led to a 35% improvement in overall customer engagement.

60%worktual

Process Automation

Around 60% of routine enquiries were automated, reducing manual workload for support teams.

70%worktual

Faster Response Times

Response speeds improved by 70%, even during high-traffic periods.

25%worktual

Growth in Customer Loyalty

Repeat purchases increased by 25% through personalized product recommendations.

100%worktual

Improved Cross-Sell and Upsell Opportunities

Targeted suggestions helped increase cross-selling and upselling opportunities.

100%worktual

Actionable Business Insights

Real-time analytics provided valuable insights to optimize marketing strategies and customer engagement.

“Lola has transformed how we engage with our customers. With integrated CDP insights, every conversation feels personalized—whether it’s product recommendations or order support. We’ve seen remarkable growth in both customer satisfaction and loyalty.”

Head of Digital Experience

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