Manthan Systems

Manthan AI Solutions is a suite of AI-powered analytics products designed for customer-facing businesses across Fashion & Apparel, Food & Grocery, Restaurant, and Convenience Stores. The platform combines prescriptive analytics, cloud-native AI, and domain expertise to reimagine analytics as human intelligence, enabling retailers and consumer brands to better understand and engage their customers.

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Overview

• Focus: AI-driven analytics, prescriptive insights, and real-time decision support for customer-centric retail and consumer businesses.
• Proposition: Three core capabilities—analytics, AI, and cloud—delivered together as a comprehensive platform for merchandising, marketing, and customer experience.
• Outcome: Intuitive, domain-informed analytics that empower faster, smarter decisions across the business lifecycle.

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How It Works

• Integrates decision sciences, advanced mathematics, and AI to create actionable insights.
• Delivers cloud-based analytics with domain expertise to ensure relevance to retail and consumer contexts.
• Emphasizes an intuitive user experience to make sophisticated analytics accessible to business users.

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Core Capabilities

• Algorithmic Merchandising: Prescriptive, data-driven merchandising that optimizes product assortment, availability, and promotions.
• Real-Time Engagement: Capabilities for real-time customer interactions and personalized communications.
• Merchandise Analytics: End-to-end analytics for inventory, pricing, promotions, and product performance.
• Customer Marketing Platform: A comprehensive suite for multi-channel marketing and lifecycle engagement.
• Real-Time Inventory (RTI): Real-time visibility and decision support to improve stock and avoid lost sales.
• Cloud-Native AI Platform: Scales with business needs and integrates with existing data ecosystems.

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How to Use Manthan AI Solutions

1. Connect Data Sources. Ingest transactional, product, and customer data from retail, ecommerce, and store systems.
2. Define Objectives. Set goals such as optimal merchandising, targeted promotions, or personalized campaigns.
3. Run Prescriptive Analytics. Leverage AI-powered insights to inform decisions on assortment, pricing, and customer engagement.
4. Act with Confidence. Apply recommendations across merchandising, marketing, and store operations; monitor outcomes in real time.

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Features

• Algorithmic Merchandising for optimized product assortments and promotions
• Real-Time Engagement for personalized customer interactions
• Merchandise Analytics for inventory, pricing, and performance insights
• Customer Marketing Platform for multi-channel campaigns and lifecycle management
• Real-Time Inventory (RTI) analytics for stock visibility and operational decisions
• Cloud-native AI platform for scalability and seamless integration
• Domain-specific analytics tailored to Fashion & Apparel, Food & Grocery, and Retail
• Intuitive UX designed to make advanced analytics accessible to business users
• End-to-end analytics covering analytics, AI, and cloud capabilities