ADA introduces AI CoPilots for marketing and commerce in Asia

The new AI CoPilots by ADA aim to alter enterprise strategies by providing specific, data-driven insights and strategic guidance across various business functions.

ADA introduces AI CoPilots for marketing and commerce in Asia

ADA, a company that leverages data, artificial intelligence, and technology, announced today the launch of its AI CoPilots. These CoPilots are part of ADA’s digital services, using vast datasets and proprietary AI models to impact enterprise marketing and commerce.

The AI CoPilots merge various data sources, eliminating barriers between platforms and business units. This allows for the delivery of insights and real-time predictive analytics, offering strategic advice specific to each enterprise's requirements.

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ADA’s initial series of AI CoPilots includes four tools, each developed to improve different aspects of digital enterprise operations:

  1. CoPilot for full funnel marketing: this tool processes diverse datasets to provide insights, helping businesses identify users and refine marketing campaigns efficiently.
  2. CoPilot for ecommerce: enhances ecommerce platforms with predictive analytics, enabling businesses to anticipate market trends and consumer behavior to maintain competitiveness.
  3. CoPilot for conversational AI: enhances chatbots by allowing them to conduct deep interactions and provide relevant responses.
  4. CoPilot for customer segmentation: enables quick access to ADA's XACT data segments, offering insights from over 300 million profiles, which can modify marketing strategies.

Srinivas Gattamneni, CEO of ADA, stated “This initiative is not just an investment in technology, it’s an investment in our customers’ future, providing them with the tools they need to thrive in a competitive market.”

He also added that this initiative enhances the reach of ADA's machine learning models and AI technologies and underscores the company's commitment to a synergistic ecosystem where client strategies are executed effectively from insight to action.

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ADA’s application in the APAC region

Here's how ADA’s partnerships with major companies in Indonesia, Thailand, and India are impacting retail, telecommunications, and banking.

In Indonesia, ADA partners with Matahari Department Store, one of the largest retail chains in the country, to deploy predictive analytics for inventory management. ADA's technology helps Matahari anticipate customer purchasing behaviors, allowing them to adjust their stock levels in real-time, reducing both overstock and stockouts.

In Thailand, ADA collaborates with True Corporation, a major telecommunications provider, using AI to refine customer service operations. By integrating ADA’s AI-driven analytics, True Corporation has enhanced its ability to manage call traffic and customer inquiries, leading to quicker response times and improved resolution rates.

In India, HDFC Bank utilizes ADA’s AI solutions to enhance its customer banking experience. ADA's technologies assist HDFC in tailoring financial products and services by analyzing customer data to predict needs and preferences. This enables HDFC Bank to offer personalized banking solutions and improve its risk management systems.

ADA's strategic deployment of AI across Asia signifies a major shift towards data-driven business practices, ensuring that their clients are well-equipped to meet the evolving demands of the digital age.

Each AI CoPilot within ADA’s lineup addresses distinct aspects of digital enterprise challenges. For example, the CoPilot for full-funnel marketing uses diverse datasets to deliver insights that enable businesses to identify user segments and refine marketing strategies across different stages of the consumer funnel. Meanwhile, the CoPilot for eCommerce uses predictive analytics to help businesses anticipate market trends and consumer behaviors.

Other tools in the suite, such as the CoPilot for conversational AI, enhance chatbot functionalities to improve customer interactions. Together, these AI CoPilots aim to integrate AI more deeply into enterprise operations, enhancing efficiency and strategic decision-making.

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