From Generic Products to Perfect Hair Matches
Hair Care AI Advisor
AI-powered personalised hair care recommendation system for a UK beauty retailer, improving customer retention by 30% and increasing repeat purchases through tailored product suggestions.
Book a Case WalkthroughA UK beauty retailer specialising in hair care products faced a common e-commerce challenge: customers struggled to find the right products for their specific hair type, texture, and concerns. Generic product listings led to poor purchase decisions, returns, and low repeat purchase rates.
The Challenge
Without personalised guidance, customers were overwhelmed by product choices and often purchased items unsuitable for their hair needs, leading to dissatisfaction and churn.
- Customers unable to identify which products suited their specific hair type and concerns
- High return rates due to mismatched product purchases
- Low repeat purchase rates as customers didn't find effective solutions
- Generic product recommendations failing to drive meaningful engagement
- No way to replicate the personalised advice of an in-store hair care consultant
Our Solution
Softblues built an AI-powered hair care advisor that guides customers through a personalised assessment of their hair type, texture, concerns, and goals. The system analyses responses to recommend tailored product routines, creating a consultative shopping experience that increases confidence in purchase decisions.
- Interactive hair assessment quiz capturing hair type, texture, and specific concerns
- AI-powered matching algorithm pairing customer profiles with optimal products
- Personalised routine builder suggesting complete hair care regimens
- Dynamic recommendations that improve based on purchase history and feedback
- Seamless integration with e-commerce platform for frictionless purchasing
Built with Enterprise-Grade Technology
Goals and Objectives
The client came to us with clear objectives to transform their operations.
Improve Customer Retention
Increase repeat purchase rates by helping customers find products that actually work for their hair
Reduce Returns
Decrease return rates by ensuring customers purchase suitable products from the start
Enhance Shopping Experience
Create an engaging, consultative experience that builds customer confidence
Increase Sales
Drive higher conversion rates and average order values through personalised recommendations
Build Customer Loyalty
Foster long-term relationships through consistently relevant product suggestions
How It All Works Together
Hair Assessment Engine
Interactive questionnaire system capturing hair characteristics including type, texture, porosity, concerns, styling habits, and treatment history to build comprehensive customer profiles.
Recommendation Algorithm
Machine learning model matching customer profiles against product attributes, ingredient compatibility, and efficacy data to generate personalised product suggestions.
Routine Builder
Intelligent system that assembles complete hair care routines with complementary products for cleansing, conditioning, treatment, and styling based on individual needs.
E-commerce Integration
Seamless connection to the retailer's product catalogue, inventory, and checkout system enabling one-click addition of recommended products to cart.
Value and Impact Delivered
Measurable improvements across every dimension of operations.
Customer Retention
Improved retention rates by 30% through personalised solutions that actually address customer hair concerns.
Repeat Purchases
Increased repeat purchase rates as customers found products that delivered results.
Customer Engagement
Higher engagement with the shopping experience through interactive, personalised guidance.
Sales Growth
Increased sales through relevant recommendations that customers trust and act upon.
Positive Reviews
Streamlined shopping experience led to positive customer reviews and word-of-mouth referrals.
Industry Recognition
Recognised as a key player in the AI haircare advisor market alongside major beauty brands.
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