Revolutionize Your Enterprise with Maya.AI's Personalization Platform

Revolutionize Your Enterprise with Maya.AI's Personalization Platform

Table of Contents

1. Introduction
2. The Problem of Choice for Enterprises
3. The Power of Maya and Guided Choice
4. How Maya Works
5. Crayon's Innovations: Cognitive Algorithms and Massive Cross Category Taste Graph
6. Use Cases of Maya
7. Success Stories of Maya
8. Pricing and Business Value
9. The Growing Popularity of Maya
10. Conclusion

Introduction

Maya and the magic of credit choice have been revolutionizing the way enterprises operate in today's digital age. Co-founders Suresh Honka and Shrikant have brought their 32-year friendship and business expertise to create Crayon Data, a company focused on solving the global problem of choice overload. Inundated with options, consumers are often overwhelmed, while enterprises struggle to build relevance. This article explores how Maya, with its powerful algorithm and guided choice framework, helps enterprises strike back against internet giants and bring personalization to their customers.

The Problem of Choice for Enterprises

Enterprises today spend billions of dollars on CRM, loyalty programs, and analytics, yet often fail to provide consumers with Relevant choices. This is in stark contrast to internet giants like Netflix and Amazon, who excel at personalized recommendations. The problem lies in the vast amount of data enterprises possess but are unable to leverage effectively. Internet companies understand the importance of choice journeys and use them to Shape their offerings, while traditional enterprises are left struggling to keep up.

The Power of Maya and Guided Choice

Crayon Data's Maya offers a solution to the choice problem. Guided choice is the future of targeting, as it helps companies deliver personalized recommendations that drive better business results. Maya operates as a powerful personal concierge, leveraging a massive cross-category taste graph that analyzes 1 billion tastes and 100 million products. By plotting affinities between different categories, Maya can recommend connections between restaurants, books, and more. It does this in a privacy-sensitive way, using behavior rather than identity.

How Maya Works

Maya's cognitive algorithm is at the heart of its functionality. It recognizes that choice is a function of taste, influence, context, and behavior. This algorithm is expressed in a technology platform that creates a taste graph, allowing Maya to make connections across industries. Maya operates on a software-as-a-service (SaaS) model, making it easy to deploy and access in the cloud. Its versatility has attracted clients from various industries, including credit card companies, hotels, and telcos.

Crayon's Innovations: Cognitive Algorithms and Massive Cross Category Taste Graph

Crayon Data's innovations in cognitive algorithms and taste graph technology are the driving forces behind Maya's success. The cognitive algorithm allows for a deeper understanding of consumer preferences, while the taste graph enables the identification of affinities between different products. These innovations provide enterprises with valuable insights into their customers' tastes and preferences, enabling them to deliver more targeted and relevant choices.

Use Cases of Maya

Maya's versatility allows it to be applied across various industries. Credit card companies, for example, can use Maya to increase customer spending by providing personalized recommendations. Hotels can leverage Maya to convert OTA bookings into direct bookings, leading to higher revenue. Telcos can deliver personalized content and choices to their customers, enhancing the overall user experience. These use cases demonstrate the wide-ranging applications of Maya and its ability to deliver tangible business outcomes.

Success Stories of Maya

Maya has garnered attention and praise globally for its successful implementation. The product has been adopted by numerous leading banks, telcos, and retailers. These enterprise clients have experienced significant improvements in their key performance indicators (KPIs) as a result of using Maya. For example, a hotel chain witnessed a 50% increase in repeat visits and an 18% increase in visit frequency. Maya's pricing model is directly linked to these business outcomes, ensuring its value as a strategic tool.

Pricing and Business Value

Crayon Data has designed its pricing structure to Align with the business value generated by Maya. The success stories and improvements in KPIs enable enterprises to realize the tangible benefits of implementing Maya. This pricing model ensures that businesses see a direct return on investment and are incentivized to utilize Maya's capabilities to their fullest potential.

The Growing Popularity of Maya

Since its launch, Maya has been gaining Momentum globally. In just ten months, Crayon Data has acquired ten clients, including leading banks, telcos, and retailers. The demand for Maya's personalized recommendations and guided choice framework continues to grow, with 2 to 3 new clients signing up each month. Traditional enterprises looking to compete with internet giants recognize the need to leverage Maya's power and the magic of guided choice to regain their market share.

Conclusion

Maya and the magic of guided choice are transforming enterprise decision-making in the era of digitalization. Crayon Data's innovative approach to solving the problem of choice overload has led to its global recognition and adoption by leading businesses. By leveraging the power of Maya's cognitive algorithm and taste graph, enterprises can deliver personalized recommendations and build relevance with their customers. In this battle against internet giants, Maya is empowering traditional enterprises to strike back and regain their competitive edge in the market.

Highlights

• Maya revolutionizes enterprise decision-making in the digital age.
• The problem of choice overload hampers enterprises' ability to provide relevant options to consumers.
• Maya's guided choice framework enables enterprises to deliver personalized recommendations.
• Crayon Data's cognitive algorithms and taste graph technology power Maya's success.
• Maya has been successfully implemented across industries, including credit cards, hotels, and telcos.
• The success stories of Maya demonstrate its tangible business value.
• Maya's pricing model is directly linked to the business outcomes it delivers.
• Maya's popularity is growing rapidly, with a steady increase in client acquisitions.
• Traditional enterprises can leverage Maya to regain their competitive stance against internet giants.

FAQ

Q: Can Maya be used by any type of enterprise? A: Yes, Maya's versatility allows it to be used by enterprises in various industries, ranging from banking to hospitality.

Q: How does Maya deliver personalized recommendations? A: Maya leverages a massive cross-category taste graph to analyze consumer preferences and make connections between different products and services.

Q: What kind of improvements can enterprises expect to see with Maya? A: Enterprises that implement Maya can expect improvements in key performance indicators such as repeat visits, visit frequency, and customer spending.

Q: Is Maya's pricing model flexible? A: Yes, Crayon Data's pricing model is designed to align with the business value generated by Maya, ensuring a direct return on investment for enterprises.

Q: How quickly can enterprises implement Maya? A: Maya operates on a software-as-a-service model and can be easily deployed in the cloud, making implementation quick and hassle-free.