Smart Product Advisory – How an E-commerce Leader Increased Conversions by 38%

2 min read
Jun 9, 2025 12:43:07 AM
Smart Product Advisory – How an E-commerce Leader Increased Conversions by 38%
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Smart Product Advisory

General Overview

April 16, 2025

Discover how an e-commerce leader used an AI-powered product and service advisory system to increase conversions by 38% and boost order value by 22%, while enhancing customer satisfaction and sales efficiency

Challenge

An established e-commerce company faced the growing challenge of guiding potential customers through a complex product and service portfolio. The range of available product variations, accessories, and contract options overwhelmed users, leading to decision fatigue and high bounce rates. Moreover, opportunities for up- and cross-selling were often missed, resulting in considerable revenue loss.


Action

To address this, the company implemented an AI-powered product and service advisory engine. This system analyzed real-time behavior and preferences of users to present dynamically tailored recommendations, from product features to contract options and add-ons.

By integrating bloola, the company connected its CRM, product database, and dynamic pricing system into a single, responsive ecosystem. This allowed the system to provide guided product journeys, surface personalized up- and cross-sell options, and present contract details based on customer segmentation. Sales content and product arguments were routed automatically depending on customer behavior.

The solution included:

  • Interactive feature exploration

  • AI-based up-/cross-selling trigger logic

  • Dynamic contract simulations

  • Full integration of Bloola for data orchestration and interface linking

 

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Result

The results were measurable and impactful:

  • Conversion rates rose by 38% among new and returning visitors.

  • Average order value increased by 22% due to relevant cross-selling suggestions.

  • Customer satisfaction scores improved markedly thanks to intuitive guidance and reduced search friction.

  • Internal sales teams reported faster lead qualification through automated product matching.

The system not only improved top-line growth but also operational efficiency.

 

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Perspective

Looking ahead, the company plans to enhance the system with voice-assistive guidance and embedded video consultations, offering customers even richer, more personalized advisory experiences.

The long-term vision is to establish a fully automated AI-driven journey that intelligently adapts across all digital touchpoints. Expansion to additional product lines and international markets is already in motion.

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Used Technologies

  • bloo.agent 4 Sales

  • LLM GPT 4o

  • Text to Speech and Speech to Text Converter

  • bloola.ai platform

Do you have any questions or need further information?

You want to know more about the process of AI implementations or how to start the usage of AI? Arrange a meeting with us and we explain your how you can use AI in  your business.

 

 

 

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