Introduction to Bookbag

Bookbag is the AI customer-support platform for ecommerce — an AI agent grounded in your store's real data that resolves tickets across chat, email, and social. Start here.

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Welcome to Bookbag. Bookbag is an AI customer-support platform built for ecommerce. You connect your store's knowledge — help center articles, product data, policies, past tickets — and Bookbag builds an AI agent that resolves customer questions instantly, 24/7, across every channel your customers use.

Unlike a generic chatbot, a Bookbag agent is grounded in your real data. Every answer is retrieved from sources you control, with citations, so the agent resolves order status, returns, shipping, and product questions accurately instead of guessing.

Try before you sign up

You can spin up a working agent on your own website in under a minute with the live trial — no account required. Paste your URL, we crawl it, and you can chat with a grounded agent immediately.

What you can build

A single Bookbag agent can handle the entire routine support load for an ecommerce store:

Resolve tickets automatically across a website widget, email, WhatsApp, SMS, Instagram, and Facebook Messenger.
Take real actions — collect leads, escalate to a human, look up an order, or call your own API with custom actions.
Run a full help desk — tickets, assignment, saved views, takeover, scheduling, and AI-assisted replies for the cases that need a person.
Reach out proactively with outbound campaigns over WhatsApp.
Render interactive widgets — order-status cards, product carousels, forms — right inside the chat.

How it works

1
Connect your knowledge
Add data sources — crawl your website, upload files, paste text, or write Q&A pairs. Bookbag chunks and embeds them into a vector index.
2
Bookbag builds an agent
Describe what you want in plain language and the agent builder drafts a system prompt, picks sensible defaults, and grounds the agent in your sources.
3
Test in the playground
Chat with your agent, inspect the exact prompt and the sources behind each answer, and refine.
4
Deploy everywhere
Embed the widget on your storefront and connect email and messaging channels. The same agent answers consistently across all of them.

Core concepts

Concept	What it is
Agent	The AI assistant you build and deploy. Has its own knowledge, model, prompt, channels, and settings.
Data source	Something the agent learns from — a website crawl, file, text snippet, or Q&A pair.
Playground	Where you chat with and tune an agent before (and after) deploying it.
Channel	A surface the agent answers on — website widget, email, WhatsApp, Slack, Instagram, Messenger.
Action	A capability beyond answering — collect a lead, escalate, or call an API.
Help desk	The ticket inbox for conversations that need a human, with assignment and takeover.
Credit	The unit of usage. Each AI reply costs credits based on the model; your plan includes a monthly allotment.

What's next

Build your first agent

A step-by-step walkthrough from zero to a deployed agent.

Data sources

Every way to give your agent knowledge, and how to keep it fresh.

Best practices

How to get accurate, on-brand answers from day one.

Deploy & channels

Put your agent on your storefront and connect messaging channels.

Build your first agent