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SoftBlues
E-commerce & Retail • AI Product Development

AI-Powered E-commerce Recommendation System

Recomengine

AI-driven e-commerce solution that simplifies shopping and boosts sales for cosmetics & beauty online stores.

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0%
Conversion Increase
0%
Higher Order Value
0%
Less Cart Abandonment
0M
Monthly Visitors
Project Overview

An international European cosmetics retailer with 2 million monthly visitors wanted to improve their customer experience while increasing revenue per visitor in today's competitive e-commerce market.

The Challenge

The business faced key challenges that limited their growth potential and customer satisfaction.

  • Generic product displays failing to engage individual shoppers
  • Customers confused by complex skincare ingredients and product compatibility
  • Weak cross-selling strategies limiting average order value
  • High support ticket volume for basic product questions

Our Solution

Softblues developed Recomengine, an AI-driven e-commerce solution that simplifies shopping and boosts sales for cosmetics & beauty stores. The platform combines conversational product discovery, intelligent Q&A, and smart recommendations to guide customers to the perfect products.

  • Conversational AI helps customers describe skin concerns and guides them to relevant products
  • Product Q&A widget instantly answers questions about ingredients, usage, and compatibility
  • Smart recommendations explain why products work well together, encouraging bundles
  • Real-time personalization based on customer needs and browsing behavior
Technology

Built with Enterprise-Grade Technology

PythonTensorFlowCollaborative FilteringContent-Based FilteringReal-time AnalyticsRedisPostgreSQLAPI IntegrationMachine LearningCustomer SegmentationA/B Testing FrameworkConversational AIRAG
Client Goals

Goals and Objectives

The client came to us with clear objectives to transform their operations.

01

Increase Conversion Rates

Show relevant products to each customer based on their preferences and skin concerns

02

Boost Average Order Value

Implement smart cross-selling with clear explanations of why products work together

03

Reduce Support Requests

Automatically answer product questions about ingredients, usage, and compatibility

04

Simplify Product Discovery

Help customers navigate complex skincare choices through conversational guidance

Solution in Action

See the Platform in Action

From intake to completion, explore how the solution transforms operations.

Smart Product Discovery
01

Smart Product Discovery

Conversational AI helps customers find their perfect products. When a customer asks about recommendations for sensitive skin, the system responds with personalized suggestions including key benefits and why each product is suitable. The natural language interface eliminates the guesswork from skincare shopping.

Product Q&A Widget
02

Product Q&A Widget

The Ask About This Product widget provides instant answers to customer questions. When someone asks about ingredient compatibility, the AI explains which ingredients to avoid and why. Pre-suggested questions help customers explore common concerns, while open chat allows any product-related query—reducing support tickets significantly.

Recommended Together
03

Recommended Together

Smart recommendations show complementary products with clear explanations of why they work together. Each suggestion includes Why Perfect Together reasoning—like explaining how Niacinamide works in the morning while Glycolic Acid is used in the evening. This educated cross-selling increases average order value while building customer trust.

Platform Architecture

How It All Works Together

1

Smart Product Discovery Engine

Conversational AI that guides customers through natural language questions to find products matching their specific needs and concerns.

2

Product Q&A System

RAG-powered knowledge base that answers ingredient, usage, and compatibility questions with accuracy and helpful follow-up suggestions.

3

Smart Recommendations Engine

Identifies complementary products and generates clear explanations of why they work well together, driving informed bundle purchases.

4

Real-time Personalization Layer

Tracks customer interactions and preferences to continuously improve recommendation relevance throughout the shopping session.

5

Analytics & Optimization

Measures conversion impact, identifies popular questions, and continuously improves AI responses through feedback loops.

Results

Value and Impact Delivered

Measurable improvements across every dimension of operations.

35%

Conversion Rate Boost

Increased overall conversion rate by 35% through personalized product discovery that addresses customer needs clearly.

28%

Revenue Growth

Boosted average order value by 28% with intelligent cross-selling that explains why products work perfectly together.

Support Reduction

Significantly reduced customer support requests by automatically answering product questions about ingredients and compatibility.

22%

Cart Recovery

Reduced cart abandonment by 22% through relevant recommendations and instant answers to purchase hesitations.

Customer Satisfaction

Enhanced customer retention through personalized, satisfying shopping interactions that build trust and loyalty.

Ready to Transform Your E-commerce & Retail Operations?

See how AI can help your organisation reduce errors, speed up processing, and improve outcomes. Let's discuss your specific challenges.

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15+
Years Experience
200+
Projects Delivered
$1M
Insurance Coverage
Success Stories

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