Antagosoft — Case Study
Date2024
LocationWorldwide

Ask the
Bot

A platform that trains AI chatbots on your product catalog. Customers ask questions, browse visually, add items to their cart, and check out — all inside one chat window.

Nimibot — AI chatbot platform for product discovery and conversational commerce

The Challenge

Every customer question costs time. “What’s the battery life?” “Can I change my order?” “When does it ship?” Humans answer these one at a time.

Nimibot reads your product specs, learns your return policies, and answers instantly. It works in text, voice, or on a kiosk screen standing in your store.

Core Architecture

Three systems. A dashboard where admins upload product docs and train the bot. A chat window where customers browse, ask, and buy. A Shopify sync that keeps catalog data current.

01Train
Bot Builder Dashboard interface

Bot Builder Dashboard

Upload product specs, company policies, and brand guidelines. The bot learns your voice, your rules, and your catalog — then answers like someone who read every page on your site.

02Chat
Visual Product Chat interface

Visual Product Chat

Customers see product images inside the conversation. They ask about dimensions, compare options, add items to their cart, and pay — without ever leaving the chat.

03Sync
Shopify Store Sync interface

Shopify Store Sync

Pulls your entire Shopify catalog into the bot. Prices, stock levels, and product details stay current automatically. No manual data entry. No stale answers.

The Impact

The bot handled questions that used to sit in a queue. Customers found products faster. More visitors left with purchases.

Faster Support88%

The bot answered product questions instantly, pulling from specs and policies instead of waiting for a human.

Less Time Per Task69%

Streamlined workflows cut clicks. Admins configured new bots in minutes, not hours.

Higher Conversion23%

Visual product browsing inside the chat kept customers engaged and pushed them toward checkout.

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