Personalisation engine
Recommendations, search and content tailored to every shopper.
- Product recommendations
- Personalised search ranking
- Next-best offer
- Audience segments for campaigns
AI by Industry
AI for retail that knows what shoppers want next.
Personalise every visit, forecast demand by store and SKU, and set prices with confidence — online, in store and on WhatsApp.
Trusted by enterprises and fast-growing startups
Use cases
AI on the shop floor
Tap a hotspot on the store — or pick from the list — to see where AI works.
Shelf and stock intelligence
Cameras and sales data flag gaps and misplaced stock before shoppers notice.
Personalised recommendations
Suggestions based on what each shopper browses and buys — in the app, online and in store.
Dynamic pricing and markdowns
Prices and markdowns set by demand, stock and competition.
Demand forecasting
Forecasts by store, SKU and day, including festivals and weather.
Loss prevention
Unusual returns, refunds and checkout patterns spotted early.
Shopping assistants
Conversational help on WhatsApp, the website and in-store kiosks.
Solutions
Retail AI, card by card
Shuffle through the deck, or jump straight to a solution.
Demand and inventory AI
Forecast demand and place stock where it will sell.
- SKU-store demand forecasts
- Replenishment suggestions
- Allocation for new launches
- Stock-out alerts
Pricing and promotions
Price, promote and mark down with a clear view of the trade-offs.
- Price elasticity models
- Promotion uplift prediction
- Markdown optimisation
- Competitor price monitoring
Conversational commerce
Assistants that answer, recommend and sell on WhatsApp and the web.
- Product discovery chat
- Order tracking and returns
- Size and fit guidance
- Hand-off to store staff
Store analytics
Camera and sensor data turned into everyday store decisions.
- Footfall and dwell analysis
- Planogram compliance
- Queue alerts
- Shelf gap detection
Product content AI
Titles, descriptions and attributes generated and checked at catalogue scale.
- Attributes from product images
- Description generation
- Marketplace listing checks
- Multilingual content
Our success stories
Problems solved, in production
Real projects across AI, data, healthcare and commerce — from the first workshop to a live system.
Healthcare tech
Patient Data Migration
Secure enterprise migration of legacy patient health records to modern cloud infrastructure under strict compliance.
Read case study
Medical AI research
Breast Cancer Detection AI
Clinical-grade diagnostic and imaging assistance for cancer research — CNN classification combined with U-Net segmentation.
Read case study
E-commerce innovation
E-Commerce Website
Multi-vendor digital storefront and catalogue system for high-value designer commerce.
Read case study
Industrial IoT
IIoT Data Pipeline & Dashboard
Predictive anomaly detection and telemetry aggregation pipelines optimised for industrial manufacturing environments.
Read case study
Climate tech
Climate Data Classification
Large-scale climate intelligence and environmental classification platform for advanced data processing.
Read case study
Insurtech solutions
Health Data Visualization
Secure analytics suite and health data visualisation platform for high-volume enterprise tracking.
Read case studyOur roadmap
From first pilot to every season
Drag through the album — each snapshot is a stage of the rollout.
Find the quick wins We review data, channels and margins to pick the use cases with the clearest payback.
Connect the data POS, e-commerce, loyalty and inventory data become one view of customers and products.
Pilot in chosen stores A test-and-control rollout proves the uplift before a wider launch.
Launch across channels Recommendations, prices and forecasts reach store, app and web.
Learn every season Models retrain on each season’s results and every new range.
Privacy-first personalisationBuilt on consented first-party data, with the controls your legal team expects.
- DPDP Act 2023
- PCI DSS
- Consent management
- GST e-invoicing
- ISO 27001
Turn shoppers into regulars.
Bring one use case and a season of data — we will show the uplift on your own stores.
Do we need a big data team to start?
No. We bring the data engineering and data science, and work with the POS, e-commerce and ERP data you already have.
Will personalisation feel intrusive?
We use consented first-party data, honour opt-outs and keep recommendations genuinely helpful — with clear controls for your team.
Does it work for online and physical stores?
Yes. Models learn from every channel, and recommendations reach store staff, kiosks, the app, the website and WhatsApp.
How do you prove the uplift?
With test-and-control experiments across stores or customer groups, so the impact is measured rather than assumed.
Can you integrate with Shopify, SAP or our POS?
Yes. We integrate with Shopify, SAP, Oracle Retail, popular POS systems and marketplaces through their APIs.
Explore more
AI for other industries and capabilities
See how we apply AI in other sectors, or browse our core AI capabilities.
Start a conversation
Let's talk about AI for Retail.
Emailsales@pyzenlabs.com
Phone+91 99718 38777
NoidaSector 62, Uttar Pradesh
GurugramUdyog Vihar, Haryana