Unlocking the Power of AI for Your IoT Journey

Table of Contents

• Introduction
• About Melt CX
• Melt CX Building Blocks
  • RIANNA Analytics Platform
  • AI Building Blocks
• VIANA: The Vision Analytics Portal
  • Object Identification and Monitoring
  • Anonymized Approach to Privacy and Security
  • Advanced Facial Analysis
  • Re-identification for Tracking
• Engaging with Melt CX
  • Off-the-Shelf Modules
  • Adding Your Own AI Models
  • Personalized Data Sets
• Use Cases and Applications
  • Connected Workspace Scenario
  • Retail Scenario
  • Healthcare Scenario
• Leveraging Intel Products
• Customer Success Stories
  • Westpac Bank
  • Australia Post
  • Electronics Retailer
• Implementing AI Use Cases Successfully
  • Starting Small and Scaling
  • Personalized Solutions Jam Sessions
  • Resources and Collateral

🔍 Introduction

In this article, we will explore the innovative solutions provided by Melt CX, a leading team in customer experience strategy and development. We will delve into their AI building blocks, specifically their RIANNA analytics platform and the VIANA vision analytics portal. This article will also cover the various ways in which Melt CX engages with customers, their impressive use cases, and the successful implementation of AI in different industries. Additionally, we will discuss the collaboration between Melt CX and Intel to leverage their products for enhanced analytics capabilities.

🏢 About Melt CX

Melt CX is a team dedicated to driving premier customer experiences through the use of edge and AI technologies. As part of a group of companies with backgrounds in hardware, Melt CX has been entrusted with the task of combining best-of-breed technology and hardware into a powerful software platform. Their partnerships with industry leaders like Intel, Cisco Meraki, Microsoft, and Google enable them to offer cutting-edge solutions to their customers and partners.

👷 Melt CX Building Blocks

RIANNA Analytics Platform

At the core of Melt CX's offerings lies the RIANNA analytics platform. This powerful platform serves as the foundation for their AI building blocks, enabling businesses to accelerate their IoT and data-driven journey. With RIANNA, Melt CX has created AI building blocks that serve as the building blocks of their analytics platform, which they have named VIANA.

AI Building Blocks

Melt CX has developed and refined a set of AI building blocks using their RIANNA analytics platform. These building blocks, combined with their expertise in edge and AI technologies, empower organizations to harness the power of autonomous devices. By teaching machines to see and analyze data like humans, Melt CX's AI building blocks enable actionable decision-making and offer valuable insights seamlessly.

👁️ VIANA: The Vision Analytics Portal

Object Identification and Monitoring

At the heart of the VIANA vision analytics portal lies the ability to identify and monitor objects and individuals. Leveraging best-of-breed technology from Intel, Google, and Microsoft, VIANA can analyze video feeds and detect humans and objects with remarkable precision. This functionality enables businesses to monitor anomalies, gain unbiased outcomes, and make data-driven decisions that drive action and insight.

Anonymized Approach to Privacy and Security

Privacy and security are paramount considerations for Melt CX. To address these concerns, VIANA employs an anonymized approach to protect individuals' identities. By blurring faces captured by sensors, such as Meraki cameras, and avoiding the storage or streaming of identifiable data, Melt CX ensures that privacy is maintained. This approach allows for data processing to occur at the edge, adding an extra layer of security.

Advanced Facial Analysis

As a vision analytics company, Melt CX understands that a person is more than just a face. Through their advanced facial analysis capabilities, they track multiple facial coordinates, including age, gender, and sentiment. It is important to note that Melt CX doesn't engage in facial recognition but instead adds more facial coordinates to anonymized personas. By combining facial coordinates with other factors like clothing and non-face behavior such as gait and aggression, Melt CX generates detailed insights and personas.

Re-identification for Tracking

VIANA also offers a re-identification feature, enabling the tracking of individuals through multiple zones. By aggregating video feeds from multiple cameras, Melt CX can utilize physical characteristics like apparel and accessories to track the anonymized person's journey within a store or other environments. This capability provides businesses with the ability to understand customer behavior across different zones and tailor offerings based on individual interests.

💼 Engaging with Melt CX

Melt CX offers multiple ways for organizations to engage with their team and leverage their AI solutions. They understand that businesses have different levels of familiarity with AI and various stages in their data and AI journey. As a result, Melt CX provides flexible options to cater to diverse needs.

Off-the-Shelf Modules

For businesses looking to quickly validate a use case or explore AI possibilities, Melt CX offers a range of off-the-shelf modules. These pre-built modules, such as vehicle counting, audience measurement, content effectiveness, and entry monitoring, are designed for easy configuration without the need for extensive development or data engineering. By selecting the Relevant off-the-shelf module, businesses can validate their use cases swiftly and efficiently.

Adding Your Own AI Models

For organizations that have already developed their AI models, Melt CX provides the flexibility to add these models to their platform. By integrating own AI and ML models and algorithms with the Melt CX platform, businesses can leverage their existing assets and extend their AI use cases further. This option allows for customization and fine-tuning to meet specific business requirements.

Personalized Data Sets

In cases where businesses have unique and greenfield AI use cases, Melt CX offers personalized data sets and tailored solutions. They work closely with their customers to understand their industry pain points and requirements, training new AI data sets and supporting Novel use cases. With Melt CX's expertise and collaborative approach, businesses can explore new AI possibilities with confidence and ensure a successful data-driven journey.

🎯 Use Cases and Applications

Melt CX's AI solutions have been successfully deployed across various industries, enabling their customers to achieve remarkable outcomes. Let's explore some of the compelling use cases and applications of Melt CX's technology.

Connected Workspace Scenario

In a connected workspace scenario, Melt CX's off-the-shelf modules are deployed to monitor and optimize the workspace environment. Modules like entry monitoring enable businesses to track foot traffic, while surface tracking and compliance modules ensure high cleanliness standards. Additionally, zone engagement modules offer insights into customer movements and preferences, enabling businesses to provide targeted and engaging experiences.

Retail Scenario

Retailers benefit greatly from Melt CX's AI solutions, which enhance various aspects of the customer experience. Using off-the-shelf modules such as audience measurement and zone engagement, retailers can understand customer behavior within their stores. This insight helps optimize store layouts, product placement, and marketing strategies. Moreover, personalized modules like visual product identification and aggressive behavior tracking enable retailers to offer individualized recommendations and maintain a safe environment.

Healthcare Scenario

Melt CX's AI capabilities have found valuable applications in the healthcare industry. By leveraging vision analytics, healthcare providers can track patient flow, detect falls, and monitor aggressive behaviors. This information allows for efficient resource allocation, ensures patient safety, and enables proactive interventions. By combining off-the-shelf modules with personalized solutions, Melt CX transforms healthcare operations and enhances patient care.

⚙️ Leveraging Intel Products

Melt CX's collaboration with Intel has been instrumental in the development and deployment of their AI solutions. Leveraging Intel's Core processors, ranging from i5 to i7, Melt CX has achieved enhanced analytics capabilities at the edge. These processors provide the necessary computing power to process and analyze data in real-time. In addition, Melt CX utilizes Intel's OpenVINO toolkit to optimize their AI models, enabling them to process HEAVIER loads of data efficiently.

🌟 Customer Success Stories

Westpac Bank

One of Melt CX's standout success stories involves their partnership with Westpac, one of the leading banks in Australia. Westpac has leveraged Melt CX's off-the-shelf modules, such as audience measurement and content effectiveness, to gain insights into customer interactions with digital content and branches. By combining data captured by vision analytics with proof of play data, Westpac can pinpoint the effectiveness of their messaging and tailor their offerings to specific audience segments. This collaboration has helped Westpac enhance its customer engagement strategies and improve the overall banking experience.

Australia Post

Melt CX has also collaborated with Australia Post, a prominent logistics and postal services provider. Together, they developed a custom solution aimed at automating the parcel handling process. By integrating vision analytics and Handwriting recognition, Australia Post was able to streamline parcel drop-off procedures, reduce person-to-person contact, and minimize queue times. This personalized use case demonstrated how Melt CX's AI solutions can be tailored to specific industry needs and deliver tangible benefits.

Electronics Retailer

Another noteworthy example of Melt CX's success is their collaboration with a large electronics retailer in Australia. By using vision analytics, this retailer gained a deeper understanding of customer flow and behavior both inside and outside their stores. The insights provided by Melt CX's off-the-shelf modules empowered the retailer to optimize store layouts, identify popular products, and assess the effectiveness of click-and-Collect services. Through this collaboration, the electronics retailer was able to enhance the overall customer experience and drive business growth.

💡 Implementing AI Use Cases Successfully

When implementing AI use cases, Melt CX emphasizes starting small, proving value, and then scaling up. By beginning with their off-the-shelf modules, businesses can quickly validate a use case and gauge its effectiveness. This approach allows for controlled experimentation and helps build a solid foundation for subsequent scaling. Melt CX also offers personalized solutions jam sessions, where they collaborate with customers to define and implement tailored AI solutions. This collaborative approach ensures that every customer receives personalized attention, maximizing the chances of success.

📚 Resources and Collateral

To support businesses on their AI journey, Melt CX provides a wealth of resources and collateral. Their website and LinkedIn page offer white Papers, informative blogs, and other valuable content. Whether businesses need technical documentation, use case examples, or implementation guides, Melt CX ensures that they have access to the necessary resources. By leveraging these resources, businesses can accelerate their data-driven journey and unlock the full potential of AI.

🙋‍♀️ FAQ

Q: Can Melt CX's AI solutions be customized to suit specific industries? A: Yes, Melt CX offers personalized solutions and training sessions to cater to greenfield use cases. By working closely with their customers, they can tailor their AI models to individual industry requirements.

Q: Can businesses add their own AI models to the Melt CX platform? A: Absolutely! Melt CX provides businesses with the flexibility to incorporate their own AI and ML models into the platform. This allows organizations to leverage their existing assets and extend their AI capabilities seamlessly.

Q: How does Melt CX ensure privacy and security when analyzing video data? A: Melt CX employs an anonymized approach to privacy and security. They blur faces captured by sensors, ensuring that no identifiable data is stored or streamed. By processing data at the edge, Melt CX enhances security while preserving privacy.

Q: Can Melt CX's AI solutions track customer behavior in retail stores? A: Yes, Melt CX's AI solutions offer zone engagement and product interaction tracking modules that enable retailers to understand customer behavior in different store sections. This information helps optimize marketing strategies, product placement, and customer engagement.

Q: Can Melt CX provide support for businesses at different stages of their AI journey? A: Absolutely! Melt CX offers off-the-shelf modules for quick proof-of-concept validation. They also support businesses in adding their own AI models and work with customers to train new AI data sets. This ensures that Melt CX can cater to businesses at various stages of their data-driven journey.