How AI Is Reshaping Retail: From Traffic To Conversions

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how ai is reshaping retail

From Traffic To Conversions

Human and AI collaboration is both a trend and a necessary mode of operation, significantly enhancing brand management efficiency.

Exabytes New Retail‘s AI jooii (Joint Omni-channel-Oriented Insightful Intelligence) is designed with this in mind, assisting brands in boosting performance through various functional applications.

Covering every critical aspect of the shopping journey, jooii helps brands achieve more efficient operations and decision-making, from accurate customer identification to operational management and personalized product recommendations.

evolution of exabyte new retail ai jooi

Every since we’ve been investing in AI, Exabytes New Retail (ENR) has introduced NAPL and DCIU models to successfully identify high-value members and drive performance growth for many retailers.

With the advancement of generative AI, ENR continuously expands its applications, launching innovative features capable of human-like conversations.

In 2023, ENR took a significant step forward with the exclusive launch of jooii, focusing on addressing key challenges faced by retailers in customer acquisition, conversion promotion, and operational efficiency.

In 2024, 73% of retail businesses are leveraging AI-driven technologies for online-to-offline (OMO) integration to streamline customer experiences and boost operational efficiency (Source: Business Insider).

solving retailers pain points with exabytes new retail ai jooi

  • Accurate user insights: Manage on-site data and integrate off-site behavior with hashed ID for comprehensive customer insights.
  • Match products with interests: Click and conversion models ensure precise product matches to maximize conversion rates.
  • AI-driven recommendations: Generate product recommendations based on tags and interests to boost clicks and purchases.

multiple roles of jooi

Store Manager: Chat Commerce Product Recommendation

  • What it does: Utilizing chat commerce technology to recommend products to customers in real-time. It also analyzes customer behavior and purchase history, allowing it to suggest products that are highly relevant to each customer’s preferences.
  • Why it’s important: This automated product recommendation helps increase sales by ensuring customers are shown the products they are most likely to purchase, improving both the shopping experience and the store’s conversion rates. Customers get personalized suggestions without needing to browse through the entire store.

Growth Consultant: Data Analysis and Business Strategy

  • What it does: Leveraging data analysis to help retailers develop effective business strategies. It analyzes vast amounts of sales, traffic, and customer data to identify trends, opportunities, and pain points. This data-driven insight enables businesses to make informed decisions and optimize marketing efforts.
  • Why it’s important: This helps retailers boost operational efficiency and scale their business by targeting the right customers with the right products at the right time. By identifying patterns and forecasting demand, it helps businesses plan for growth in a competitive market.

Sales Assistant: Multi-Context Personal Guidance

  • What it does: Provides multi-context personal guidance throughout the customer journey. It can respond to customer inquiries, offer advice on products, and provide tailored recommendations based on the context of the interaction (e.g., browsing behavior, past purchases, or specific queries).
  • Why it’s important: This role ensures a more personalized shopping experience, guiding customers towards the best solutions for their needs, which increases the likelihood of a purchase. It’s like having a knowledgeable sales assistant available 24/7, enhancing customer satisfaction and engagement.

here are 4 key takeaways about exabytes new retail ai jooi

  1. In-depth customer analysis to enhance conversion

  • Discover potential new customers via AI data matching
    Combine 1st-party and 3rd-party data using AI tagging technology to precisely target high-potential new customers, expanding audience reach and re-target based on interests and behaviors.
  • Find suitable campaigns for inactive customers
    jooii’s product tags awake past customers and find new ones based on industry contexts. These tags evolve with industry trends, making the brand more market-relevant and reactivating dormant customers.
  • Identify high-value customer to improve conversion values
    Combine NAPL and purchase intent AI models, using media tools such as email, WhatsApp, SMS, and APP push notifications to effectively identify and re-engage high-value customers.

2. Chat commerce to enhance conversion

  • Increase interaction with chat, create personalized shopping experience and obtain key data through Q&A, real-time analysis to support operation decisions
    Engage in conversation with jooii Store Assistant to recommend products based on customer behavior and preferences, providing a seamless shopping experience.

3. Personalized recommendation to encourage visit

  • Optimize site content to increase conversion
    Quickly generate precise product content, category descriptions, and customer reviews, enhancing content quality, increase website traffic, and attract more consumers to visit the site.
  • Personalized product recommendations to boost effectiveness
    Utilize jooii for personalized product marketing, increasing click-through rates by up to 10%, and enhancing customer engagement and conversion rates. AI tags guide customers to view highly relevant products, continuing shopping even when search results are empty.
  • Exclusive recommendations to enhance repeat purchase
    Combine eDMs with jooii to provide personalized product recommendations, precisely delivering messages to attract customers back to the site, further improving conversion rates.