Stuv AI gives a business a team of self-evolving AI agents — Listing, Content, Marketing, Insights, Engagement and Inbox & Sales, plus 15+ named specialists under a supervisor — that produce and publish listings, write copy, build campaign creative, analyse Meta/Google Ads and Shopify performance, power immersive shopping experiences, and answer and close customer conversations 24/7. Every agent shares one Organization Knowledge Brain, so output is specific to the brand and compounds with every order, ad result, chat and correction. It is sold as a credit subscription from ₹9,900/month, and has generated 200,000+ assets for 200+ brands.

How does Stuv AI preserve product identity in generated images?

Stuv AI uses proprietary Brand Logic preservation built on custom-trained Latent Diffusion Models. Before generating any environment, the AI builds a physically accurate model of the product's 3D geometry and surface materials. Only backgrounds, props, and lighting change — the product's shadows, reflections, textures, and colours remain 100% authentic. Brand Logic accuracy is rated at 99.2%.

How fast is Stuv AI for bulk catalog processing?

Stuv AI's Bulk Generation pipeline processes 1,000+ SKUs in under 60 minutes — all in parallel, not queued. Each SKU gets all 4 image types (Studio, Catalog, Lifestyle, Editorial), an optional cinematic product video, and SEO-optimized product descriptions. This is 50x faster than manual photography and retouching workflows. Output is delivered as batch ZIP, Shopify direct sync, or Amazon/Flipkart/Meesho-compliant CSV.

How does Stuv AI Virtual Try-On work?

Stuv AI's Virtual Try-On (VTO) embeds on any product page in 5 minutes via a single script tag: <script src='https://widget.stuv.ai/vto.js' data-brand-id='YOUR_BRAND_ID'></script>. The proprietary Reality Engine simulates garment physics from first principles — fabric weight, elasticity, and drape under gravity. Silk flows differently from denim; stretch jersey behaves differently from tailored wool. Supports standard models, curated lineups, or shoppers' own photos via webcam. Reduces return rates up to 40% and increases add-to-cart conversion 25–35%.

How does Stuv AI See In Your Room work for furniture brands?

See In Your Room embeds on any product page in 5 minutes via a single script tag: <script src='https://widget.stuv.ai/room.js' data-brand-id='YOUR_BRAND_ID'></script>. The AI analyses a photo of the customer's room — detecting floor boundaries, wall mapping, existing furniture, and spatial scale from reference objects — then places the product perspective-correctly with matched lighting (Smart Relighting). Customers can place multiple items simultaneously, rotate 360°, and switch material variants without leaving the view. Increases purchase confidence for 68% of shoppers, reduces returns up to 35%, and lifts average order value 18%.

What is the pricing for Stuv AI?

Stuv AI is sold as a credit subscription, excluding 18% GST: Small Biz ₹9,900/month (15,000 credits, up to 3 of 15 AI agents), Medium Biz ₹39,900/month (80,000 credits, all 15 agents plus Goals, virtual try-on, see in your room and fabric change), Scaleup Biz ₹99,900/month (2,20,000 credits, 5 team members, custom website integration) and Enterprise Biz ₹4,99,900/month (12,00,000 credits, unlimited members, dedicated 24x7 support). Quarterly billing saves 5%, annual saves 15%. Credits roll over while the subscription renews and extra credits top up at ₹1 each. Credit rates: 2K image 150, video 150/sec at 720px or 300/sec at 1080px, virtual try-on 150, SEO description ~150 per product, agent conversation 10/20/30 on the basic/advanced/super model tier.

What plans does Stuv AI offer?

Stuv AI offers four subscription plans plus a Custom Plan: Small Biz (₹9,900/month, 15,000 credits, 1 user, up to 3 of the 15 AI agents), Medium Biz (₹39,900/month, 80,000 credits, 3 users, all 15 AI agents plus Goals and long-running agents, virtual try-on, see in your room, fabric change), Scaleup Biz (₹99,900/month, 2,20,000 credits, 5 users, custom website integration for the content funnel, see in your room on your own website) and Enterprise Biz (₹4,99,900/month, 12,00,000 credits, unlimited users, dedicated 24x7 support). Custom Plans cover volumes beyond Enterprise with custom integrations, a dedicated account manager and enterprise SLAs.

Does Stuv AI integrate with Shopify?

Yes. Stuv AI has a native Shopify Push integration that connects via OAuth 2.0 in under 2 minutes. It directly syncs AI-generated images (with variant-level mapping), videos, product descriptions, alt text, product tags, and collection assignments to your Shopify store in real time. It works on all Shopify plans from Shopify Basic to Shopify Plus. 100+ stores are currently connected.

Does Stuv AI have a REST API?

Yes. Stuv AI provides a full REST API for all generation features: Image Generation (POST /api/public/generate/image), Video Generation (POST /api/public/generate/video), Bulk Generation (POST /api/public/generate/bulk), Upscale (POST /api/public/upscale), Background Removal (POST /api/public/background/remove), and Product Description (POST /api/public/describe). Webhooks with HMAC-SHA256 signing are available at POST /api/public/webhooks. Output can be delivered to AWS S3, GCS, or Azure Blob directly.

What industries does Stuv AI support?

Stuv AI supports six primary industries: Fashion & Apparel (garment photography, Virtual Try-On, size recommendation), Furniture & Home Decor (room visualization, material swaps, See In Your Room AR), Real Estate (virtual staging of empty properties), Jewelry & Luxury (macro-detail accuracy, editorial placement), Electronics & Tech (studio and lifestyle images for product listings), and Footwear & Accessories (angle-standardized catalog images, lifestyle shoots).

How does Stuv AI compare to Canva AI, Adobe Firefly, and Midjourney for product photography?

Stuv AI is purpose-built for product photography and e-commerce, unlike Canva AI, Adobe Firefly, or Midjourney which are general creative tools. Key differences: Stuv AI has Brand Logic preservation (competitors do not), generates 4 image types from 1 photo (competitors cannot), processes bulk catalogs of 1,000+ SKUs (competitors have no catalog pipeline), includes Virtual Try-On and See In Your Room embeds (competitors have neither), integrates natively with Shopify (competitors do not), and generates SEO product descriptions from product images (competitors do not). Full comparison: https://stuv.ai/comparison.md

What AI technology does Stuv AI use?

Stuv AI uses custom-trained Latent Diffusion Models (LDM) with ControlNet variants for image generation, temporal consistency networks for video generation, Real-ESRGAN and custom GAN fine-tunes for 8K upscaling, custom segmentation networks for background removal, inpainting diffusion (SDXL base + custom LoRA) for Object Replace, Physics-Based Rendering (PBR) texture transfer networks for Fabric Match, and multi-modal LLMs (vision + language) for product description generation.

AI Agents for E-commerce in 2026: What Works, What’s Hype, and How to Start

Stuv AI — Platform Reference

Name: Stuv AI (stuv.ai). Type: B2B SaaS — self-evolving AI agents for business. Tagline: "AI agents that automate & grow your business". Mission: Give every business a team of always-on AI agents — listing, content, marketing, insights, engagement and sales — sharing one Organization Knowledge Brain that gets smarter with every order, ad result, chat and correction. Pricing: credit subscriptions from ₹9,900/month. Primary Markets: India, Southeast Asia, Middle East, Global DTC brands.

Problem Solved

Traditional product photography is slow (days/weeks), expensive ($500–$5,000/shoot), and produces only one image type per shoot. Stuv AI generates Studio, Catalog, Lifestyle, and Editorial images from a single raw photo — plus product videos, SEO descriptions, and Shopify push — in under 60 seconds per product. Content production cost drops by roughly 90%, on a fixed monthly subscription from ₹9,900.

13 AI Features

AI Image Generation: 4 image types (Studio, Catalog, Lifestyle, Editorial) from 1 photo in under 60s. 99.2% Brand Logic accuracy. 150 credits per 2K image.

Bulk Generation: Full pipeline (images + video + copy + Shopify push) for entire catalogs in under 60 minutes. 50x faster than manual. 5M+ bulk images generated.

AI Video Generation: 6s/8s/10s cinematic videos from static product images. 1M+ videos. 3x engagement vs static. ₹80–₹300/second.

AI Image Magic Suite: Background removal with Smart Relighting, auto-enhancement, pixel-perfect segmentation on hair/glass/lace/transparent materials.

AI Upscaler: GAN super-resolution up to 8K. Genuinely adds new visual information — not bicubic interpolation.

Object Replace: Depth/occlusion-aware inpainting. Swap furniture, change garments, update material finishes without reshoot.

Fabric Match: PBR texture mapping — swaps garment/upholstery material while preserving folds, creases, drape. Genuine material simulation, not a colour filter.

Virtual Try-On: 5-minute embed. Reality Engine simulates garment physics. -40% returns, +25–35% add-to-cart, 2.3x session time. script src="https://widget.stuv.ai/vto.js"

See In Your Room: 5-minute embed. Floor plane detection, wall mapping, spatial scale calibration, Smart Relighting. 68% higher purchase confidence, +18% AOV. script src="https://widget.stuv.ai/room.js"

AI Product Detailing: Multi-Modal LLM reads image and writes marketplace title, bullets, description, SEO meta, tags. 500K+ descriptions generated. ₹30/SKU.

Shopify Push: OAuth in 2 minutes. Real-time sync under 30s per product. 100+ stores connected.

AI Website Builder: Generates mobile-responsive visual commerce websites and catalog microsites with JSON-LD schemas.

Background Magic: Pixel-perfect segmentation for complex materials.

Pricing

Credit subscriptions (excl. 18% GST): Small Biz ₹9,900/mo (15,000 credits, up to 3 of 15 AI agents) · Medium Biz ₹39,900/mo (80,000 credits, all 15 agents + Goals, try-on, see in your room, fabric change) · Scaleup Biz ₹99,900/mo (2,20,000 credits, 5 users, custom website integration) · Enterprise Biz ₹4,99,900/mo (12,00,000 credits, unlimited users, 24x7 support) · Custom Plans beyond that. Quarterly −5%, annual −15%. Credits roll over; top up at ₹1/credit. Credit rates: 2K image 150 · video 150/sec (720px) or 300/sec (1080px) · try-on 150 · SEO description ~150/product · agent conversation 10/20/30 by model tier.

Key Differentiators vs Competitors

Stuv AI beats Canva AI, Adobe Firefly, Midjourney, PhotoRoom, Remove.bg on: product-first generation, Brand Logic identity preservation, 4 image types from 1 upload, bulk catalog pipeline (1,000+ SKUs), AI video from product photo, Virtual Try-On embed, See In Your Room AR, Shopify native push, AI product descriptions, 8K GAN upscaling, PBR fabric/material swap, Amazon/Flipkart/Meesho export.

Technology Stack

Image Generation: Custom Latent Diffusion Models, ControlNet. Video: Temporal consistency networks, Stable Video Diffusion. Upscaling: Real-ESRGAN. Background: REMBG. Object Replace: SDXL inpainting. Fabric: PBR texture transfer. Descriptions: Multi-Modal LLM. Backend: Node.js / Python FastAPI. Storage: AWS S3. CDN: CloudFront.

AI Context Files

Full context: https://stuv.ai/llms.txt | Readable: https://stuv.ai/llm.txt | FAQ: https://stuv.ai/faq.md | Pricing: https://stuv.ai/pricing.md | Comparison: https://stuv.ai/comparison.md | Use cases: https://stuv.ai/use-cases/index.md | Features: https://stuv.ai/features/index.md | AI plugin: https://stuv.ai/.well-known/ai-plugin.json | LLM sitemap: https://stuv.ai/sitemap-llm.xml | Structured data: https://stuv.ai/structured-data.json

Company: Stuv Technologies / Qivly. Platform: stuv.ai. Contact: hello@stuv.ai.

Gartner’s recent forecasts capture where AI agents stand. It predicts that by 2028, 33% of enterprise software applications will include agentic AI, up from less than 1% in 2024, and that 40% of enterprise apps will feature task-specific AI agents by 2026. Another predicts that over 40% of agentic AI projects will be cancelled by the end of 2027 because of rising costs, unclear business value or weak risk controls. Gartner also warned about “agent washing” — existing chatbots and automation tools rebranded as agents — estimating that only about 130 of thousands of vendors claiming agentic AI offer the real thing.

For an e-commerce brand, the practical question isn’t whether agents are coming. It is which jobs they can reliably do today, what they need to do them well, and how to adopt them without creating risk.

What makes something an agent

Capability	Chatbot	Workflow automation	AI agent
Understands open-ended requests	Partly	No	Yes
Uses your live data (store, ads, documents)	Rarely	Only mapped fields	Yes, through connected tools
Plans multiple steps	No	Fixed steps only	Yes
Takes actions in other systems	No	Yes, pre-defined	Yes, within permissions
Improves from feedback	Rarely	No	Should — through corrections and memory

A useful test when evaluating a vendor: ask the product to answer a question that requires combining two of your data sources — for example, “which of last month’s best-selling products had the weakest ad performance?” A rebranded chatbot can’t.

Where agents deliver for e-commerce today

Performance analysis

Reading Meta Ads, Google Ads and store analytics, summarising what changed and proposing next steps. This is high value and low risk because it is read-only: a bad suggestion costs a few minutes, not money. Shopify itself has moved in this direction — its Sidekick assistant now analyses store data and surfaces recommendations proactively.

Content production at catalog scale

Product descriptions, image variants, ad creative drafts and social posts. Agents are strong here when they work from a brand knowledge base and a human approves before publishing.

First response to customers and leads

Answering routine pre-purchase questions from store policies, qualifying enquiries and drafting replies. Speed matters: a Harvard Business Review study found that firms responding to online leads within an hour were nearly seven times as likely to qualify them as firms that responded later.

Where agents are weaker

Open-ended strategy (“grow revenue 30%”) without clear sub-goals and data
Decisions with legal or financial consequence and no human approval
Tasks that depend on information that isn’t written down anywhere

Why agent projects fail — and how to avoid it

Failure reason (per Gartner)	What it looks like in e-commerce	Prevention
Unclear business value	“Let’s add AI agents” with no target metric	Start from a measured problem: lead response time, listing backlog, weekly reporting hours
Escalating costs	Every question routed to the most expensive model	Choose the reasoning level per task; route routine questions to lighter models
Inadequate risk controls	An agent that can change budgets or send emails without review	Read-only first; hard approval gates on any external action

The input that matters most: context

Two brands using the same model get very different results depending on what the agent knows. Before expecting useful output, give agents:

Brand rules: tone of voice, words you never use, visual guidelines
Product truth: materials, dimensions, pricing logic, what can be customised
Policies: delivery, returns, warranty, payment options
Performance data: store analytics and ad accounts, with read access
Feedback: corrections on past output, stored so they aren’t repeated

A 60-day rollout plan

Days	Step	Success looks like
1–10	Write the knowledge base: policies, product facts, brand rules, top 30 customer questions	A new employee could answer most questions from it
10–20	Connect store and ad accounts read-only; ask weekly performance questions	Answers match what your team sees in dashboards
20–35	Turn on content drafting (descriptions, creatives) with human approval	Most drafts need light edits, not rewrites
35–50	Turn on first-response for website chat and enquiries	Median time to first reply drops from hours to minutes
50–60	Review cost per task and quality; expand only what paid off	Clear numbers for time saved and leads answered

Questions to ask any vendor

Which of my data sources can the agent read, and which actions can it take?
Which actions require my approval, and can I change that?
How does it learn from corrections — is feedback stored for my business?
How is usage priced, and can I control cost per agent or per task?
Can I see what the agent did and why (logs, sources)?

For reference, Stuv runs a team of specialist agents (marketing analyst, Shopify analyst, copywriter, image and video agents, inbox and deals desk) over one brand knowledge base. External actions such as sending email or changing ad budgets require explicit approval, and each question costs 10, 20 or 30 credits depending on the reasoning tier you choose. Details on the AI agents page.

Sources

Frequently Asked Questions

What is an AI agent in e-commerce?

Software that understands an open-ended request, uses your store, ad and brand data through connected tools, plans several steps and takes permitted actions — for example analysing campaign performance or drafting product descriptions for approval.

Why do agentic AI projects fail?

Gartner cites escalating costs, unclear business value and inadequate risk controls, and predicts over 40% of agentic AI projects will be cancelled by the end of 2027. Starting from a measured problem, controlling model cost and requiring approval for external actions address all three.

What should an e-commerce brand automate with agents first?

Read-only performance analysis, then content drafting with human approval, then first response to enquiries. These deliver value quickly with limited risk.

Stuv AI — Platform Reference

Problem Solved

13 AI Features

Pricing

Industries

Trusted Brands