The digital commerce landscape for Consumer Packaged Goods (CPG) brands is shifting away from traditional monolithic architectures, which struggle to provide hyper-personalized, omnichannel experiences. To meet this need, Nagarro has introduced Cashmere, a composable commerce accelerator built on the VTEX platform, and Maya, an advanced AI shopping assistant. Together, they redefine conversational commerce, helping CPG brands launch faster and scale seamlessly.
The Challenge: Complexity in Modern CPG Commerce
CPG brands face compounding challenges when expanding direct-to-consumer (D2C) and B2B channels. They must manage complex catalogs, high SKU volumes, subscription models, and multi-region support—often while navigating the tension between building direct consumer relationships and preserving retail partnerships. Traditional platforms are too slow and rigid, making a flexible, fast-to-market architecture essential for digital agility.
The Foundation: Cashmere on VTEX
Cashmere is a pre-configured, modular architecture accelerator built on VTEX, an enterprise commerce platform with a true MACH (Microservices, API-first, Cloud-native, Headless) architecture. This setup decouples the frontend (React/Next.js) from the backend, allowing rapid innovation without disrupting core operations.
VTEX enables Cashmere to integrate smoothly with ERP and CRM systems while providing enterprise-grade security and multi-region capabilities. Key benefits include:
| Capability | What Cashmere Delivers | Business Impact |
|---|---|---|
| Composable Architecture | Decoupled frontend, API-first integration | Faster innovation cycles without backend disruption |
| Promotions & Bundling | Pre-configured engine, volume pricing | Higher average order value and purchase frequency |
| Subscriptions | Built-in logic with flexible options | Predictable recurring revenue |
| Omnichannel Foundation | OMS, POS, ERP, CRM integration | Supports D2C, B2B, and hybrid models |
| Localization | RTL storefront, multi-currency, regional checkout | Global scalability from a single codebase |
| Marketplace Enablement | Native connectors, unified B2B/B2C model | Multi-channel revenue diversification |
By leveraging VTEX, Cashmere enables 30–40% faster implementation cycles, lower total cost of ownership, and a future-ready foundation.
Maya: Humanizing Digital Retail
Embedded within Cashmere is Maya, an AI-powered conversational shopping assistant that transforms simple personalization into a guided, consultative journey. Maya uses natural language processing (voice and text) and progressive profiling to understand customer needs—such as specific skin concerns or budget constraints—mimicking an in-store advisor.
See Maya in action: a guided skincare consultation powered by AI on the VTEX platform.
Key Features of Maya
- Guided Consultations: Adapts conversational flow based on intent, such as pivoting to budget-based filtering for gift shoppers.
- Inline Recommendations: Deeply integrated with VTEX, Maya generates rich product cards within the chat featuring “It’s a match ✨” badges, images, and live pricing.
- Contextual Memory: Remembers user profiles across the conversation to suggest complementary products and build routines.
- Dual-Mode Experience: Acts as a general discovery assistant on the storefront and a focused advisor on individual product pages to increase conversion confidence.
VTEX as the Strategic Backbone
Maya’s real-time contextual orchestration relies on VTEX’s API-first architecture, which pulls live inventory and pricing data in real time. Furthermore, VTEX captures Maya’s insights (e.g., skin concerns, purchase intent) as first-party data, informing inventory planning and campaign targeting.
Maya’s product recommendation engine: contextual, conversational, and deeply integrated with VTEX.
As VTEX develops agentic commerce capabilities, the partnership with Nagarro positions both at the forefront of AI-driven retail.
Conclusion
The combination of Cashmere, Maya, and VTEX provides a strategic blueprint for CPG brands. It replaces slow, expensive legacy builds with a fast, composable foundation and humanizes the digital experience through conversational AI.
Expected Outcomes
- 30–40% faster implementation cycles
- Reduced total cost of ownership
- Improved conversion performance
- Faster campaign launches and easier regional rollouts
- A future-ready composable foundation
