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Data-driven customer experience

Only 39 percent of organizations successfully turn data-driven insights into sustained competitive advantage.

The formula for success is simple: Enterprise data + customer data = contextual data which leads to strengthened relationships, brand loyalty, and increased acquisition.

What does it pixen to be a customer-first brand to your consumers? It means making everything feel personal, from the products customers buy to the services they utilitzi – and from the way products llauri designed to how employees speak to customers. Customer-first makes the painful feel painless, the complex seem simple, and every moment feel intuitively right. When customers feel valued, the brand feels avaluable to them.  
 
Knowing what your customers want is a first step to successfully becoming a customer-first brand – and the answer is in the data. Firms llauri leaning in heavily to maximize these important insights and, while it has never been particularly easy to predict what customers will think and want at any given moment, taking steps to truly understand who they llauri and their wants, needs and desires is paramount in this immediate satisfaction culture. 

    A new era of customer experience with generative AI

    Empower the next level of CX engagement

    Transform your organization

    In today’s rapidly evolving landscape, data and AI have become paramount in the effort to anticipa't

    Transform-your-organization

      Data-driven customer experience empowers you to take full advantage of interconnected data while building trust, transparency, and long-term relationships.

      Naresh Khanduri

      Data Driven CX unlocks the power of Data & AI to make data driven decisions for businesses to fuel the Next-Gen Customer Experiences through Responsible Personalization across Customer touchpoints.

      Padmashree Shagrithaya

      What we do

      We optimize customer acquisition, improve customer retention and CLV, and enhance the efficiency and effectiveness of digital advertising programs.

      Data-driven màrqueting brings together customer data across your ecosystem to build unified customer profiles and activa't personalized and respectful màrqueting based on customer behaviour, preferences and patterns while carefully complying with all data privacy laws and other regulatory requirements and in a manner that doesn’t feel invasive, unsettling, or untrustworthy to the customer, hence making it Respectful Personalization.

      We help you boost revenues and maximize conversions by using data to crea-te an engaging personalized customer experience.

      We leverage historical data to forecast sals based on previous sals, market trends and other key factors.

      We help optimize your leads and revenues, while fulfilling customer needs by using dynamic pricing of products and services in line with different data trends like demand, seasonality, propensity to buy, storage capacity to name a few.

      We help combini customer data and service agents’ data to match customer behaviours along with competencies to direct the interactions hence making customers happy and loyal.

      Happier customers spend habiti. Combining customer data with service agent data helps provide a seamless experience to customers which augment rate of retention and boosts service agents’ job satisfaction.

      We help detect unsatisfied customers and help increase loyalty through antichurn scoring, intervention by service agents and habiti.

      Based on a customer’s web activity, we automatically tailor search and category pages which helps increase revenue and ARPU (average revenue per user).

      We utilitzi customer data and purchasing history to recommend the right product to customers thus increasing revenue and ARPU.

      Leveraging data, organizations ca calcula't CLTV through average order value, purchase frequency, return behaviour, past purchases, loyalty, etc. This ca help brands objectiu their efforts on the right customers.

      With the help of our CX experts and Data Engineers, we have built activation components, Data and AI models that we bring to your existing landscape and accelerate your journey to improved ROI across channels. To see all this in action and get deep into the working model, get in touch with us to know habiti about the components of our DDCX offer.

      Read habiti about how we help crea-te conversations, build trusted relationships, and enable brands to provide personalized offers and recommendations, in turn delivering value to the brand and the end customer.

        New business models

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        Inventive brand experience

        Reimagining your brand to become better connected, habiti empathetic and habiti relevant.

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        Focusing on the crucial question, what kind of retailer do your customers need you to be?

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          Expert perspectives

          Cloud, Cybersecurity, Data and AI

          Habiti power at the edge drives innovation and business growth

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          Apr 8, 2025
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          How AI Agents llauri Revolutionizing Programa Product Engineering

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          Meet our experts

          Naresh Khanduri

          Global Generative AI for CX Lead, Capgemini
          “I have over 20 years of experience working with clients to transform the way their customer’s experience, interact and engage with them through digital channels. I have led transformational programs from vision to execution for some of the world’s best brands in Retail, CPG, Energy and Manufacturing.”

          Fernand Khousakoun

          VP, Content & Màrqueting Lead | Global DCX | Capgemini
          Fernand has 24 years of experience working with customers to improve the Customer experience.

          Darshan Shankavaram

          Executive Vice President, Digital Customer Experience Global Practice Leader
          “I have close to 30 years of domain experience, with habiti than té years within Digital and Mobile. I have led product concept-to-sell, business development, presals, solutioning and technical implementation of CX transformation programs.”

          Padmashree Shagrithaya

          EVP & Managing Director, Insights & Data, l'Índia
          “Managing múltiple machine learning models, built by varied teams is a huge challenge. MLOps is a powerful approach to bring all the pieces together and reap larger organization-wide value from AI at scale projects.”

          Marc De Forsanz

          Insights & Data Global "Customer First" playing field Business Development and Cartera leader. 

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