Home Insights Case Studies How G-Star accelerated product onboarding from weeks to days with AI catalog enrichment

How G-Star accelerated product onboarding from weeks to days with AI catalog enrichment

Cover of a Case Study with macro close-up of dark blue denim fabric with texture and copper-colored stitching details on it

As customer expectations shift toward more personalized, content-rich experiences, the pressure to scale product content continues to grow.

Recognizing this, G-Star, a digital leader in fashion, set out to modernize its catalog operations and improve how product content is created and delivered across channels. The brand needed a faster, more scalable way to onboard products and generate high-quality descriptions without compromising its brand voice. Its existing process relied on multiple third parties, manual checks, and repeated refinements, stretching timelines to weeks and slowing down digital growth.

Grid Dynamics implemented a generative AI-powered catalog enrichment solution to automate product content creation and remove bottlenecks from onboarding workflows. By transforming structured attributes and product images into ready-to-publish content, the solution reduces manual effort while maintaining consistency and quality at scale.

See how AI catalog enrichment accelerates onboarding, improves content quality, and enables scalable merchandising ops

The challenge

Manual product onboarding was slow and resource-intensive:

  • Weeks to generate product descriptions
  • Multiple third parties involved
  • Multiple stages of checking and refining

Each product required importing data, validating attributes, and iterating on content across multiple steps—creating delays and limiting scalability.

The solution

Enter AI Content and Catalog Optimization. Raw product data was transformed into engaging, brand-aligned descriptions using generative AI.

Key capabilities include:

  • Prompt-guided product description generation
  • Brand style learning for consistent tone and messaging
  • Attribute extraction from images and existing content
  • Flexible control over text length, structure, and format
  • Custom vocabulary aligned to brand and domain
  • Automated image captioning and content generation
  • Streamlined product onboarding workflows

G-Star can now generate fast, personalized, on-brand content in no time. A single human-in-the-loop validation step replaces multiple review cycles, ensuring accuracy while reducing operational complexity.

Product onboarding time dropped from weeks to days, improving efficiency and accelerating time-to-market. Merchandising teams now focus on refining brand voice and storytelling instead of manual content creation.

Download the case study to see the architecture blueprint, in-depth implementation steps, and capability insights.

Tags

You might also like

Teal and orange virtual foodservice delivery truck with digital blocks to represent grocery search and catalog enrichment
Case Study
A recipe for deep search understanding and catalog enrichment
Case Study A recipe for deep search understanding and catalog enrichment

Discover how this Fortune 100 foodservice distributor increased average revenue per customer by 4% after modernizing its digital search and catalog systems. With over 600,000 clients and hundreds of thousands of SKUs, the company relied heavily on its e‑commerce channel but struggled with low searc...

Futuristic humanoid figure made of blue particles wearing VR goggles and headphones, using a smartphone representing an AI retail search assistant
Case Study
The AI search and shopping assistant behind a 17% conversion lift
Case Study The AI search and shopping assistant behind a 17% conversion lift

See how a leading omnichannel sleep retailer used an AI retail search assistant to make online discovery feel as guided as an in-store consultation. In this case study, you’ll learn how Grid Dynamics designed a triage-first discovery platform that blends fast facet search with a conversational shop...

Magnifying glass overlaying collaged ocean and abstract imagery representing AI-powered WhatsApp search technology.
Case Study
GenAI-powered search for 40M+ auto parts on WhatsApp: A case study
Case Study GenAI-powered search for 40M+ auto parts on WhatsApp: A case study

Delivering customer service at the speed of today’s expectations is not optional anymore. See how a leading automotive retailer restructured its e-commerce search and customer support by implementing a conversational AI agent on WhatsApp and achieved response times as fast as 3 seconds, enablin...

Retail case study cover showing smart shelf analytics visuals with PepsiCo branding, Grid Dynamics and Smartlook logos, and “Shelf intelligence case study” title.
Case Study
PepsiCo machine vision: Shelf intelligence case study
Case Study PepsiCo machine vision: Shelf intelligence case study

PepsiCo, one of the largest food and beverage companies in the world, takes a deeply customer-centric approach to in-store merchandising and accessibility. Producing iconic brands such as Pepsi, Lay's, and Gatorade, which are enjoyed by consumers a billion times a day, makes strategic product d...

Grid Dynamics case study cover with white sports car in neon showroom, headline “Award-winning multi-brand commerce modernization,” award callouts, and logo.
Case Study
Award–winning multi-brand automotive commerce modernization
Case Study Award–winning multi-brand automotive commerce modernization

This leading automotive aftermarket company replaced 12+ year-old legacy platforms with a composable MACH architecture that now supports the growth of its multi-brand B2B automotive parts distribution business across Europe. The automotive commerce modernization results speak for themselves:...

Mattress Firm Sleep Expert smiling with an AI agent for retail sales device in her hand
Case Study
How Mattress Firm’s Sleep Experts® are championing CX with AI agents
Case Study How Mattress Firm’s Sleep Experts® are championing CX with AI agents

As the largest omnichannel mattress retailer in the U.S., Mattress Firm’s 6,000+ Sleep Experts® are trusted advisors guiding customers to better sleep across 2,200+ stores. But with product information, promotions, financing options, training materials, and operational procedures spread across...

Transparent car design with teal and orange background. White text box shows
Case Study
Retooling for the future: A composable commerce overhaul for an automotive tools giant
Case Study Retooling for the future: A composable commerce overhaul for an automotive tools giant

Download the full case study now to explore how this tools distributor reimagined their automotive ecommerce experience for future success. By downloading, you'll gain access to exclusive insights that can help inform your own digital transformation strategies. Whether you're in the automotive i...

Let's talk

    This field is required.
    This field is required.
    This field is required.
    By sharing, I consent to the use or processing of my personal information by Grid Dynamics for the purpose of fulfilling this request and in accordance with Grid Dynamics’s Privacy Policy. For more details about how to opt-out, please refer to the Privacy Policy and Terms & Conditions.
    Submitting
    quote icon

    We consistently turn to Grid Dynamics for our most complex challenges. Their Data Scientists and AI Engineers are top-notch—highly experienced and deeply knowledgeable.

    Sr. Engineering Director, global auto parts retailer

    Geometric composition with teal car wheel

    Thank you!

    It is very important to be in touch with you.
    We will get back to you soon. Have a great day!

    check

    Thank you for reaching out!

    We value your time and our team will be in touch soon.

    check

    Something went wrong...

    There are possible difficulties with connection or other issues.
    Please try again after some time.

    Retry