The Composable Future of Retail in the World of AI
Retail is evolving faster than ever. Innovation speeds have gone up, and your technology dictates the velocity. If you’re not embracing emerging technologies, you might be falling behind. Adopting a composable architecture enables you to innovate faster and gives you the power to outpace the competition in adopting AI.
MACH-Enabled AI explained in 90 seconds.

20+ Years of Experience in Retail & Ecommerce
Unlock the Future of Retail With MACH-Enabled AI
Read our Whitepaper where we unravel the core components of MACH architecture. Discover how MACH fuels agility, scalability, and innovation in the digital realm, from microservices to API-first design and cloud-native solutions. Gain valuable insights into the practical applications, benefits, and challenges of integrating MACH principles, paving the way for a customer-centric, future-proof digital transformation journey.
AI Accelerators

Real-Time Integrated Stock Management
Multichannel retailers can optimize stock distribution and reduce costs by integrating an AI component within the MACH architecture, enabling real-time monitoring and demand prediction. This AI microservice, deployed in the cloud and using an API-first approach, offers a natural language interface for seamless data querying and operation.

Visual Product Search
Visual product search uses AI to analyze user-provided images, offering highly relevant product recommendations and streamlining the shopping experience. This intuitive discovery method boosts sales by encouraging users to explore similar or complementary products.

Customer Sentiment Analysis
AI-driven sentiment analysis mines insights from customer reviews, social media, and other digital footprints, helping retailers assess product popularity, predict trends, and tailor marketing strategies. Its composable nature allows application across various data streams, such as call center interactions, providing a comprehensive view of customer sentiment.

Customer Service Chatbot
With rising customer service expectations, AI-powered chatbots provide real-time, accurate responses by leveraging a knowledge base of product details and FAQs. These chatbots handle numerous queries, reducing the burden on human representatives and allowing them to focus on more complex issues.