SoftServe Gen AI Retail Shopping Assistant

Give your customers real-time guidance for a smoother shopping experience. Accelerated by NVIDIA AI Blueprints, SoftServe Gen AI Retail Shopping Assistant makes it easy to browse product catalogs, quickly search for items, and access relevant product details. Plus, the AI-driven solution includes a virtual try-on feature that can be activated right in the online chat. With it, customers can see how products look on them before making a purchase.

Whether it’s online, offline, or hybrid shopping, retailers face problems like purchase hesitation, costly returns, and the need for personalized customer experiences. The shift in shopping trends also calls for new strategies to keep consumers engaged and drive higher conversion rates. 

SoftServe Gen AI Retail Shopping Assistant helps you overcome these challenges. It allows customers to visualize products in real time, removing the guesswork. Using AI, the assistant offers personalized recommendations and visual search, which makes product discovery easier and more engaging.  

Shopping today demands smarter solutions.
Enhance it with Gen AI.
Created by SoftServe, Accelerated by Nvidia AI Blueprints

Empower Your Retail Strategy With Gen Ai

AI-powered conversational shopping assistants create personalized experiences that truly engage customers. This approach can increase revenue by 5% to 10%. Discover how SoftServe's solution can make it a reality.
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Shopping Assistant at a Glance

SoftServe solution integrates virtual try-on technology, especially vital for the fashion industry, with an AI-driven shopping assistant to provide a personalized, immersive experience that blends the best of physical and digital shopping.   

NVIDIA AI Enterprise powers several critical components of the solution, including conversational AI, frames preprocessing, and image processing workflows. These advanced technologies transform shopping, helping retailers, e-commerce platforms, and fashion brands differentiate themselves and build customer loyalty.

  • Try on products in real-time
  • Find what you need faster and with less effort
  • Enjoy a seamless omnichannel shopping
  • Access an inclusive shopping experience tailored to you

How it Works

Conversational AI

NVIDIA® Riva and NVIDIA NeMo™ Guardrails power the conversational interface. These technologies ensure real-time, natural user interactions while maintaining secure conversational boundaries.

Frames Preprocessing

We implemented semantic segmentation and body pose estimation for precise, real-time user frame analysis using the NVIDIA TAO Toolkit. This enables accurate and seamless virtual try-ons.

Image Processing

NVIDIA NIM-hosted Llama-3.2-90B and Retail Object Detection NIM microservices enhance object recognition, delivering more personalized and precise try-on recommendations. NVIDIA Stable Diffusion XL generates realistic, high-resolution visualizations of the try-ons.

Solution Architecture

NVIDIA AI Enterprise makes it easy to deploy cutting-edge AI workflows quickly and at scale using NVIDIA NIM™ microservices. Integrating advanced technologies and optimized tools helps create a better, more seamless shopping experience.

Nvidia Ai Enterprise Software Used

  • NVIDIA NIM™ microservices
  • NVIDIA Riva™
  • NVIDIA NeMo™ Retriever microservices
  • NVIDIA TensorRT™ LLM
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Use Cases

Real-time Product Try-ons

Real-time Product Try-ons

Shoppers can virtually try on clothing, accessories, or cosmetics to see how they fit and match their style before purchasing. The solution supports diverse customer needs by offering inclusive sizing options and adaptable visualizations for all body types and skin tones. The result? An interactive, realistic shopping experience for everyone. 
Retail

Revenue Optimization

Real-time Product Try-ons

Shoppers can virtually try on clothing, accessories, or cosmetics to see how they fit and match their style before purchasing. The solution supports diverse customer needs by offering inclusive sizing options and adaptable visualizations for all body types and skin tones. The result? An interactive, realistic shopping experience for everyone. 
Retail

Personalized Shopping Experience

Real-time Product Try-ons

Shoppers can virtually try on clothing, accessories, or cosmetics to see how they fit and match their style before purchasing. The solution supports diverse customer needs by offering inclusive sizing options and adaptable visualizations for all body types and skin tones. The result? An interactive, realistic shopping experience for everyone. 
Retail

Omnichannel Shopping

Real-time Product Try-ons

Shoppers can virtually try on clothing, accessories, or cosmetics to see how they fit and match their style before purchasing. The solution supports diverse customer needs by offering inclusive sizing options and adaptable visualizations for all body types and skin tones. The result? An interactive, realistic shopping experience for everyone. 
Retail

Real-time Product Try-ons

Shoppers can virtually try on clothing, accessories, or cosmetics to see how they fit and match their style before purchasing. The solution supports diverse customer needs by offering inclusive sizing options and adaptable visualizations for all body types and skin tones. The result? An interactive, realistic shopping experience for everyone. 
Retail

Our Implementation Cycle

01Assessment & Design

  • Outline use cases and challenges through workshops
  • Collect data on the current production environment
  • Define success criteria and constraints
  • Draft use case workflows and user stories
  • Review data foundation and systems for feasibility
  • Create high-level solution design and project plan
  • Duration: 2-4 weeks

02Pilot Phase

  • Design architecture after evaluating tools, services, and technologies 

  • Set up app and cloud infrastructure along with supporting components 

  • Design and develop an intuitive UI/UX 

  • Connect to data sources to gather error-related insights 

  • Develop prompt flows for selected use cases 

  • Test features, deploy the copilot, and create performance reports 

  • Duration: 2–6 months 

03Production Rollout & Improvements

  • Appoint a focus group to conduct testing 

  • Onboard and train end users 

  • Analyze results and feedback 

  • Scope, plan, and implement improvements 

  • Conduct a full-scale rollout 

  • Duration: 4–8 weeks 

  • Outline use cases and challenges through workshops
  • Collect data on the current production environment
  • Define success criteria and constraints
  • Draft use case workflows and user stories
  • Review data foundation and systems for feasibility
  • Create high-level solution design and project plan
  • Duration: 2-4 weeks

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