Expert-trained. Shopper-tested. Production-proven.
GenAI services that close the gap between what shoppers expect and what your AI actually delivers.
Managing our consumer experience is complex. The communications and clarity we now get are taking that complexity away. Through a simplified, harmonized approach, Firstsource has created a solution with a consistent methodology and real benefits at its core."
WHY THIS MATTERS
Three forces making GenAI solutions harder to ship for retail
Catalog scale, language diversity, and shopper expectations all rise faster than English-only training data can keep up with.
Catalog complexity is exploding
~50M+
Large retailers manage that many SKUs. Product taxonomy errors, missing attributes, and inconsistent descriptions degrade search relevance and conversion rates.
Industry Benchmark
Shoppers Abandon bad research
68%
That share of online shoppers leave after a failed product search. Visual search, semantic matching, and personalization models need training data that reflects real buyer intent.
Industry Benchmark
Personalization drives revenue
40%
Companies that excel at personalization generate that much more revenue. But recommendation models trained on thin data produce irrelevant results and erode trust.
Industry Research
PROVEN OUTCOMES
What these programs deliver in production
These are real client-of-record results measured against live retail catalogs, not benchmark scores from a lab.
96.4%
visual query accuracy
Visual AI achieved 96.4% accuracy across more than 100,000 retail product image-and-question pairs, enabling reliable product support while keeping hallucinations at 0.8%.
274K
prompts evaluated
More than 274,000 unique prompts were evaluated to improve the quality and consistency of a leading e-commerce platform's shopping assistant.
1M+
multimodal assets
More than one million images and videos were curated across 30+ cities to support AI-powered virtual try-on experiences for digital commerce.
Solutions across the GENAI LIFECYCLE
How each solution works inside retail
Each solution delivers outcomes for high-impact retail use cases, from catalog enrichment to multilingual search relevance.
Multimodal evaluation
We test product images, customer reviews, catalog data, and video content across modalities simultaneously.
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SFT / CoT demonstrations
Our experts author reasoning chains for product comparison, sizing logic, and shopping assistant responses.
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Data annotation
Retail specialists handle product attribute tagging, category classification, and customer intent labeling.
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Expert preference ranking
Retail professionals rank model outputs so your shopping assistant recommends relevant products, not noise.
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Red teaming
We run adversarial probing for price manipulation, inventory exploits, and brand-safety violations in retail AI.
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CLIENT SPOTLIGHT
Nine languages, one shopping assistant
300K+ voice preference evaluations across 9+ languages for a leading e-commerce platform
The languages span French, German, Korean, Japanese, Spanish, English, Italian, Chinese, Hindi, and Brazilian Portuguese.
Each language received 30K evaluations, which optimize voice AI for multilingual shoppers.
Each language received 30K evaluations, which optimize voice AI for multilingual shoppers.
300K+
voice preference evaluations
OFFERINGS FOR LEADING RETAILERS
Training data meets the retail shelf
Each program is shaped around how shoppers actually search, browse, and buy across languages and devices.
Product taxonomy and catalog enrichment
We handle SKU classification, attribute extraction, and hierarchy mapping across millions of products.
Visual search and product discovery
We build image-to-product matching and semantic search training for accurate discovery.
Personalization and recommendation engines
We produce customer intent labeling and preference data for recommendation engines.
Conversational commerce
We create shopping assistant training data for product Q&A, sizing and order support.
Customer sentiment analysis
We label reviews, and feedback for brand health, product quality, and CX signal capture across digital channels.
Multilingual retail content
We deliver cross-market, multilingual descriptions, customer service data and voice memos to enable smarter LLM interactions.
Customer Stories
AI Virtual Try-On: 1M+ assets across 30+ cities for digital commerce
We built a multimodal data collection pipeline that gathered images and motion video from 10K+ participants across diverse demographic profiles. The program covered fit-aware garment modelling, human-garment interaction signals for computer vision, and SFT and model evaluation for AI-powered virtual try-on.
We built a multimodal data collection pipeline that gathered images and motion video from 10K+ participants across diverse demographic profiles. The program covered fit-aware garment modelling, human-garment interaction signals for computer vision, and SFT and model evaluation for AI-powered virtual try-on.
Shopping assistant preference training at 274K-prompt scale
Graders performed side-by-side response comparison and preferential ranking across Harmless, Honest, and Helpful dimensions. Each response received an absolute rating on a 1–7 scale for a production shopping assistant used by millions of shoppers.
Graders performed side-by-side response comparison and preferential ranking across Harmless, Honest, and Helpful dimensions. Each response received an absolute rating on a 1–7 scale for a production shopping assistant used by millions of shoppers.
GenAI pen-testing: 18+ attack methods for marketplace fraud defense
We built a taxonomy of attack vectors across identity and listing fraud and generated 10,000+ GenAI and non-GenAI test assets. The program produced realistic penetration testing scenarios and a scalable testing framework for platform trust and safety AI.
We built a taxonomy of attack vectors across identity and listing fraud and generated 10,000+ GenAI and non-GenAI test assets. The program produced realistic penetration testing scenarios and a scalable testing framework for platform trust and safety AI.
HOW WE DELIVER
How these offerings get delivered
Three numbers explain why these programs ship on schedule: a credentialed workforce, a low rejection rate, and activation in under 48 hours.
Expertise
Brand-critical data is managed by credentialed merchandisers, catalog specialists, customer experience analysts, and product taxonomy experts, with fully accountable and auditable delivery.
Quality
100K image-Q&A triplets for retail products, covering questions about dimensions, materials, and usage scenarios. Multi-pass QA includes domain-expert review at every stage, and only 0.8% hallucination.
Speed
Across 100+ countries and 150+ languages, with retail specialist pools pre-qualified and ready. The Gigsourcing Platform activates retail programs before your product launch window closes.
TESTIMONIAL
Operators who changed how they run retail
We have come so far in this time and it's really down to all of your hard work. It's also worth pointing out that our competitors didn't make it onto any of the lists below. Thank you to everyone who has been involved in this journey of transformation.
You took over a significant backlog with zero experience of our business, right at the start of Retail Peak and Black Friday. You took control, spoke to customers without them having to wait. Being there for customers made a massive difference, taking us to a whole new level.
Managing our consumer experience is complex. The communications and the clarity we get from [Firstsource] is taking that complexity away. Through a simplified, harmonized approach, they have created a solution with a consistent methodology showing real benefits at its core.
INSIGHTS
Latest from the Firstsource team
Insights from the field, real operations, real outcomes, and perspectives from the people making it work in live operations.
Case Study
Penetration testing using GenAI enhances platform safety and trust for an online marketplace for short and long-term homestays and experiences
Discover how a global marketplace for homestays and experiences partnered with Firstsource to proactively secure its platform against identity and listing fraud through GenAI-powered penetration testing, bolstering user trust and safety.
Case Study
Delivering 1 million AI tasks in 5 weeks: Firstsource enhances GenAI model with 98% accuracy
Goal: A leading tech company partnered with Firstsource to enhance their virtual assistant's GenAI model using Reinforcement Learning from Human Feedback (RLHF). The goal was to improve accuracy and reliability by training the model with high-quality, annotated data, creating and verifying multi-turn conversations across multiple domains within a tight deadline. How we made it happen:Our tailored approach ensured precise execution at scale. Here's how:
Case Study
Rapid improvement in GenAI models using high quality, multilingual STEM content, with 100% quality compliance for a global tech giant
Firstsource delivered 120K+ high‑quality STEM content items in 10 languages for a GenAI model, achieving full compliance and rapid onboarding of expert creators.
Contact US
Build retail AI that converts
Tell us what you're building. A retail program lead replies inside one business day.
- Talk to a credentialed technology program lead.
- Sample dataset returned in 5–10 business days.
- Compliance docs (SOC 2, ISO, GDPR) on request.
- NDA before any data exchange.