The intelligence layer
for lifestyle brands.
AI-powered customer intelligence, personalization and retail intelligence platform for lifestyle brands.
Estimated retailer ROI within 12 months of deployment.
Uplift in conversion and average order value from personalization.
Fewer returns and stronger satisfaction from accurate fit and styling.
What today's lifestyle retailers
don't know.
What retailers know
- ✓What sold
- ✓Revenue
- ✓Inventory on hand
What they don't
- ✕Why a shopper didn't buy
- ✕Which styles they preferred
- ✕Which products they wished existed
- ✕What demand is coming next
That gap costs retailers every season.
How one interaction becomes a
business decision.
Every click, fit, return and repeat purchase feeds the same graph — customer signal becomes preference, preference becomes a recommendation, and the loop closes back into sharper intelligence.
One platform, six modules that each run standalone.
Starting with fashion retail, extending across home, beauty, wellness and specialty lifestyle brands.
Customer intelligence — know every customer beyond transactions.
Every browse, click, return and repeat purchase builds one profile — style, size, price sensitivity and intent — that the retailer owns outright.
AI recommendation engine — personalized shopping journeys.
The engine ranks each shopper's catalogue in real time against their profile and current session behaviour.
Virtual try-on — reduce purchase hesitation.
A shopper's photo or body scan is mapped onto garment imagery in seconds. Nothing biometric is stored.
Product customization — design products in real time.
Shoppers configure colour, fabric and fit; the order routes straight to production with no manual re-entry.
Smart retail kiosk — bring AI into physical stores.
The same recommendation and try-on models run on the shop floor, in the shopper's own language.
Retail intelligence dashboard — turn interactions into decisions.
Demand forecasts, merchandising insights and segment reports update as new signal arrives — no quarterly re-run.
Experience Swakriti
technology live.
Our technology powers our own lifestyle brand. Instead of a sandbox demo, experience the platform through a live implementation.
Interactive demo
Walk through the platform yourself — customer profiles, recommendations, virtual try-on and the retail dashboard — in a guided live session with our team.
[Photo Slot]Swakriti Kidswear
Our own made-to-order kidswear brand, running end-to-end on Swakriti technology — real orders, every week.
Built differently.
Purpose-built
01Built around lifestyle retail decisions, not general commerce.
Enterprise ready
02SaaS architecture built for multi-brand, multi-store rollouts.
AI native
03Every module runs on the same underlying intelligence graph.
India first
04Built for Indian retailers, regional languages and in-store realities.
Scalable
05One module or four, one store or four hundred, same platform.
Deploy one module. Deploy four. Pay for the credits you use.
Start with Customer intelligence, add Retail intelligence next quarter, or run the full platform from day one.
- Any one of the six modules
- Single-module dashboard
- Standard support
- Pay-as-you-go credits
- Additional AI credits — ₹2,000 per top-up, outside the bundle
- All six modules, one graph
- Cross-module analytics
- 2,000 credits/mo included
- Priority support
- Additional AI credits — ₹2,000 per top-up, outside the bundle
- Unlimited credits
- Dedicated success manager
- Custom integrations & API
- SLA-backed uptime
Typical average cost once AI credit top-ups are included, covering around 1,000 virtual try-ons a month.
Indicative pricing. Final pricing depends on store count, catalogue size and deployment scope. Additional AI credits sit outside the plan bundle and are billed separately in top-ups of ₹2,000.
Lifestyle commerce, not
just fashion.
See how it applies to you.
“We want to understand our customers.”
“We want an AI shopping assistant.”
“We want data across stores.”
Built to give Indian retail a data advantage of its own.
Indian retail digitised fast — POS, e-commerce, CRM — but the customer intelligence that came with it stayed inside ad platforms and marketplaces, not with the brands. A retailer could see what sold. Not why, not what almost sold, not what a shopper wanted and never found.
Swakriti closes that gap: an intelligence layer the retailer owns outright, built for how Indian retail actually operates — multi-brand, multi-language, online and in-store at once.
Every lifestyle brand — not just the largest — should have an AI layer that understands their customers as well as they do.SWAKRITI LIFESTYLE PVT. LTD.
FOUNDING TEAM
Sreenath Viswanathan
Founder & CEO
Amala Mery Shyjy
Co-Founder, Product & AI
Karthika P Nair
Co-Founder, Program & Ops
ADVISORS & MENTORS
Prof. Vipin
Professor, IIT Madras
Academic advisor bringing deep research expertise.
Prof. T. Russell
Professor, NIFT Chennai
Fashion & design advisor with textile innovation expertise.
Srijan Srivastava
Entrepreneur & Tech Advisor, IIT Delhi
Serial entrepreneur and deep-tech advisor.
INCUBATION & PARTNERS
From founding to pilot
— and beyond.
Founded
Swakriti Lifestyle Pvt. Ltd. registered in India.
IITM RTBI
Incubated at IIT Madras Rural Technology & Business Incubator.
MVP
First working version of the customer intelligence platform.
Pilot
— current stageTRL 6, pilot ready, with two pilot agreements in place.
Retail deployment
Rolling the platform out across pilot retailers' stores.
Enterprise rollout
Multi-brand, multi-store deployments at scale.
Global expansion
Taking the platform beyond India's lifestyle retail market.
Why this is a platform, not a
point solution.
A point solution sells a single feature — a try-on widget, a recommendation plug-in — and competes on price the moment a contract renews. Swakriti sells the graph underneath all four modules: every store that goes live adds signal that sharpens recommendations, forecasts and segmentation for every other store on the platform. That data network effect is the moat, not any one feature — which is why revenue compounds with usage instead of resetting with each new logo.
Validated. Built. Ready to scale.
See the platform against your own store data in a 30-minute walkthrough.