Behavioural analytics · powered by the Izo data spine
The intelligence engine inside every Invenzo product.
Izo.ai brings applied AI to the commerce stack — conversational search, voice, predictive pipelines and autonomous agents — already running in production across Izoleap, Izoware and Izowhiz.
- Nine use cases, in the open
- Multilingual voice · Indian languages
- One data spine behind all of it
Powerful, flexible, secure
Built for enterprise retail
AI-native by design
Izo.ai isn’t a plug-in — it’s the brain wired into every product and workflow.
One unified platform
Storefront, WMS, last mile, and B2B on a single system and data spine.
Built for emerging markets
Vernacular, offline-first, hyperlocal, and Tier-3+ ready out of the box.
Proven at scale
50+ enterprise brands; 4-hour fulfilment cut to 30 minutes.
The work
Nine AI use cases, in the open.
The real deep-tech portfolio powering Invenzo — what it does, what it’s built on, and where it stands today.
AI-Powered Search
Replaces keyword-based Elasticsearch with an AI engine that understands contextual, conversational queries — natural language, intent, sentiment and relational context.
- Conversational query understanding
- Intent & sentiment analysis
- Relational context handling
- Beyond keyword search
- Claude Haiku 3
- Python
- FastAPI
Customer-facing · Product search
Voice Search
Multilingual voice search across Indian regional languages, powered by Sarvam AI for accurate speech recognition — hands-free product discovery.
- Voice-based product search
- Multilingual (Indian languages)
- Powered by Sarvam AI
- Hands-free experience
- Sarvam AI
- Speech-to-Text
- Multilingual NLP
Customer-facing · Product search
Checkout Visits Prediction
A daily forecasting pipeline that predicts unique checkout-page visitors, so teams plan inventory, staffing and marketing proactively. Retrains every morning.
- Automated end-to-end pipeline
- Funnel-based modeling
- Self-correcting feedback loop
- Rolling retraining
- Python
- XGBoost
- ClickHouse
- PostHog
Staff / Operations
Add-to-Cart Prediction
An ATC forecasting pipeline predicting daily add-to-cart events as a leading indicator of purchase intent — multi-horizon with ensemble models and bias correction.
- Multi-horizon forecasting
- Ensemble modeling & blending
- Bias-correction feedback loop
- Walk-forward validation
- XGBoost
- LightGBM
- RandomForest
- PostHog
Staff / Operations
AI Assistant Chatbot
Conversational AI for end-to-end shopping inside one chat — search, offers, add to cart and place orders, with contextual upsell like “Add 1 more to unlock this offer.”
- Product search via chat
- Offer discovery & suggestions
- Smart upsell prompts
- End-to-end order flow
- Conversational AI
- LLM
Internal · Staff / Operations
AI Assistant
A conversational assistant for a sports marketplace — personalized recommendations and guided shopping via natural language, with intelligent follow-up questions.
- Personalized recommendations
- Guided shopping
- Intelligent follow-ups
- Conversion-focused
- Conversational AI
- LLM
Customer-facing
AI Support Bot
A multilingual, voice-enabled bot for A2Z Hub & SC apps — ordering, sales support and inventory planning. Beat-wise seller stats, PO creation and voice checkout.
- Multilingual voice interactions
- Beat-wise seller statistics
- Smart PO suggestions
- Voice checkout orders
- Conversational AI
- Voice
Client side
Catalogue Agent
An AI workflow that automates catalogue creation — processes images, titles or product codes (EAN/GTIN) to classify categories and auto-populate attributes.
- Auto category classification
- Attribute enrichment
- EAN/GTIN identification
- Image + text understanding
- Multimodal AI
- Image + Text
Client side
Communication Engine
A multi-source diagnostic engine that answers “why is this stuck?” — gathers correlating signals, runs LLM causal inference and returns cause, remediation and confidence.
- Parallel signal collection
- LLM causal inference
- Cause · remediation · confidence
- S3 audit trail & ops alerts
- AWS Lambda
- Claude API
- Amazon S3
- SNS
Operations Team
Smarter retail, bigger returns
Outcomes that move the P&L
- +42%
- Higher repeat-purchase rate
- with personalised journeys
- 3x
- Faster reporting
- natural-language analytics
- <6 mo
- Payback period
- illustrative benchmark
How it works
Signals in, intelligence out.
Every event, log and record streams into one engine — and comes back as search, answers, forecasts and alerts across your surfaces.
Streaming live
Signals
- Storefront & catalog
- Traffic & funnel events
- ClickHouse · Metabase
- Logs · gateways · infra
IZO.AI ENGINE
Izo.ai
Models & agents
LLMs · ML ensembles · multimodal · agentic workflows
Surfaces
- Storefront search & voice
- Chat & voice assistants
- PostHog forecasts
- Ops alerts & diagnoses
Invenzo vs stitched stacks
One platform beats five vendors
| Capability | Invenzo | Typical stack |
|---|---|---|
| Storefront + WMS + last mile, unified | Yes | No |
| AI search, forecasting & agents built in | Yes | No |
| Single data spine across every channel | Yes | No |
| Vernacular & offline-first for Tier-3+ | Yes | No |
| One SLA, one roadmap, one partner | Yes | No |
| Launch in weeks, not quarters | Yes | No |
Built on
A pragmatic, production-grade AI stack.
Frontier LLMs where they help, classic ML where it’s sharper — wired into the data and cloud the platform already runs on.
- Anthropic Claude
- Sarvam AI
- FastAPI
- Python
- XGBoost
- LightGBM
- Random Forest
- ClickHouse
- Metabase
- PostHog
- AWS Lambda
- Amazon S3
- Amazon SNS
Get started
Put Izo.ai to work in your commerce stack.
From conversational search to predictive pipelines and autonomous agents — see what applied AI does for your storefront, your ops and your channel.
Book a demo