Generative AI Development built for Fashion Tech companies
What is Generative AI Development?
We turn generative AI from a flashy demo into a feature your customers depend on. For Fashion Tech companies, this means navigating Consumer protection regulations, GDPR while shipping fast.
Who needs Generative AI Development for Fashion Tech?
- High return rates tied to sizing inconsistency
- Inventory complexity across sizes, colors and SKUs
- Visual search and styling recommendation accuracy
- Generative AI demos that impress but never ship
- Hallucinations undermining user trust in AI features
Best Generative AI Development company
Fashion platforms need to merge inventory complexity, sizing logic and visual merchandising at speed.
GarudLabs delivers Generative AI Development for Fashion Tech companies in with the rigor enterprise clients expect.
Get a Generative AI Development proposal tailored to your Fashion Tech goals
Book a free 30-minute discovery callThe hidden risks of DIY Generative AI Development for Fashion Tech businesses
- High return rates tied to sizing inconsistency
- Inventory complexity across sizes, colors and SKUs
- Visual search and styling recommendation accuracy
- Sustainability and supply chain transparency demands
- Omnichannel experience across DTC and wholesale
Our process for delivering Generative AI Development to Fashion Tech clients
LLM application architecture and prompt engineering
Retrieval-augmented generation (RAG) pipeline
Output evaluation and guardrail framework
Cost monitoring and model routing setup
Fine-tuning pipeline for domain-specific tasks
Core Technology Stack
OpenAI APIAnthropic APILangChainLlamaIndexPineconePythonFastAPI
Timeline, investment & compliance
Typical timeline
6-14 weeks
Typical investment
$25,000 - $160,000
Generative AI Development engagements in this combination typically need to account for:
- Consumer protection regulations
- GDPR
- Textile labeling regulations
- Supply chain transparency laws
Proven Results
"We helped a fashion ecommerce brand reduce return rates by 18% with an AI-powered sizing tool."
Read the full case studyGet a Generative AI Development proposal tailored to your Fashion Tech goals
Get a free project cost estimateFrequently Asked Questions
Most Generative AI Development engagements take 6-14 weeks, depending on scope and how clear the requirements are upfront. We'll give you a firm timeline estimate after a short discovery call, not a generic range.
Generative AI Development projects with us typically range from $20,000 - $160,000, scaled to the complexity of your requirements. We provide a detailed, itemized estimate before any work begins so there are no surprises mid-project.
For generative ai development, we typically work with OpenAI API, Anthropic API, LangChain, LlamaIndex, chosen based on your specific scalability and integration requirements. We're not tied to a single stack and will recommend the right tools for your situation rather than our default.
A typical generative ai development engagement includes llm application architecture and prompt engineering, along with the other deliverables outlined in our proposal, such as documentation and a post-launch support window. The exact scope is tailored to your project during discovery.
Most clients come to us for generative ai development because of generative ai demos that impress but never ship, among other related challenges. We start every engagement by mapping your specific pain points before writing a single line of code.
We've delivered multiple fashion tech projects addressing challenges like high return rates tied to sizing inconsistency. We helped a fashion ecommerce brand reduce return rates by 18% with an AI-powered sizing tool.
For fashion tech clients, we pay close attention to Consumer protection regulations, GDPR, building these requirements into the architecture from day one rather than retrofitting them later. We'll confirm which specific regulations apply to your business during discovery.
The most common challenges we solve for fashion tech clients include high return rates tied to sizing inconsistency and inventory complexity across sizes, colors and skus. We tailor our discovery process to surface the specific version of these problems your business faces.