The AI assistant that guides customers inside physical retail stores

Shopping should be simple.
Too often, it isn't.

Customers waste time. Staff answer the same questions all day. Store data exists — but it's locked in back-office systems.

A store-specific AI assistant,
not a generic chatbot

BotiGo connects natural language interaction with a store's own product catalogue, prices, layout, and future shelf-awareness data.

The prototype is live

BotiGo already has an early interactive prototype that demonstrates the core concept of the in-store assistant. Ask questions, get product locations, see the store map, and hear the responses spoken aloud — all powered by a real AI backend.

ℹ️ The prototype uses a fictional store with made-up stock, categories, prices, and locations. It is designed to validate the customer journey and concept, not to represent the final production experience.

🛒 Try the BotiGo prototype →

Ask anything. Get a useful answer.

BotiGo understands natural questions and responds with specific, actionable guidance.

Three steps from question to answer

Built on real AI infrastructure

BotiGo combines large language models, retrieval-based product search, structured store databases, and store-layout mapping. The assistant is grounded in store-specific data — reducing the risk of generic or incorrect responses.

The voice-first interface uses on-device speech recognition and neural text-to-speech for natural, low-latency audio in noisy retail environments. The full platform is deployable on-premise or at the edge, keeping store data local.

🧠 LLM conversational AI 🔍 Semantic product search 🗺️ Store layout mapping 🗣️ Whisper speech recognition 🔊 Kokoro neural TTS ⚡ CUDA GPU acceleration 👁️ Computer vision (roadmap) 🤖 Mobile robotics (roadmap) 📖 Price-label OCR (roadmap)

From prototype to intelligent retail platform

Useful AI for real stores today, with a path toward shelf vision and robotics tomorrow.

1

Now — MVP

Web Assistant

AI-powered kiosk assistant with voice, search, map, and product guidance.

• Working prototype
• Voice + touch interaction
• Store map with highlights
• Promotions & dietary filters
• 1,800+ product demo store

2

Next — Retail Integration

Real Store Integration

Connect to live retailer catalogue, polish the UX, expand language support.

• Real POS/ERP catalogue sync
• Multilingual support
• Faster LLM response
• Enhanced visual interface
• Pilot retailer deployment

3

Future — Shelf Intelligence

Shelf Vision & Robotics

Computer vision and mobile robots provide real-time shelf awareness.

• Shelf-gap detection
• OCR price-label verification
• Real-time stock signals
• Mobile robot integration
• Predictive restocking

Better experience.
Lower friction. More discovery.

😊

Improve customer experience

Shoppers find what they need faster, reducing frustration and increasing basket size through better product discovery.

🙋

Reduce repetitive staff questions

BotiGo handles location, price, and availability questions — freeing staff for higher-value customer interactions.

🌍

Support multilingual shoppers

Serve international and non-native customers in their language, expanding your accessible customer base.

📈

Increase product discovery

Promote alternatives and offers contextually — "this is on promotion this week" surfaces at exactly the right moment.

🔬

Build future shelf intelligence

Lay the foundation for shelf-availability signals, inventory accuracy, and AI-powered retail operations.

Interested in testing BotiGo
in your store?

We are looking for local retailers, supermarkets, and innovation partners to validate the MVP, test real customer interactions, and explore AI-powered product guidance, shelf awareness, and future robotics integration.

or email directly: wail.mubarak@gmail.com