Improving Customer Engagement for B2C Brands Through Personalised AI
Customer
Diverse customer base
Revenue growth focus
Personalized offers
Problem Statement
Limitations of traditional systems
Importance of relevance
Shift towards AI-based solutions
LLM and ChatGPT
Solution Development
Solution Adoption Challenges
To ensure the effectiveness of this algorithm, we encountered several adoption challenges:
Privacy Concerns: Addressed through formal positive consent mechanisms and privacy-conscious data organization.
Costs Associated with AWS and Notifications: Mitigated by adopting bulk processing and scheduled broadcasting methods during off-peak hours.
Timing for Notifications: Maintained relevance through a system for weekly analysis and recommendation notifications.
Collaborative client journey
AWS Personalize implementation
User interaction analysis
Tailor-made recommendations
Outcomes
Enhanced Personalized Offers: Leveraging AI and AWS Personalize, our clients have seen a significant increase in the relevance of offers presented to their customers, improving engagement rates and customer satisfaction, and driving substantial growth.
Increased Revenue: The intelligent recommender system has led to a 30% increase in offer-based revenue within the first three months, underscoring the effectiveness of personalization in generating revenue and enhancing conversion rates.
Ongoing Improvement: At Arrk Group, we are committed to continuous refinement and optimization of our workflows, delivering more relevant recommendations that enhance customer engagement rates and boost revenue generation.
API Integration: We developed an API endpoint to seamlessly integrate the personalized AWS engine into our clients’ websites and applications, enabling real-time, relevant offers to users, improving browsing experiences, and driving higher conversion rates.