Ecommerce AI
AI Chatbot for Ecommerce: Product Discovery, Order Tracking, and Cart Recovery
Most ecommerce stores lose buyers in three places: search that returns nothing, "where is my order" tickets that pile up, and carts abandoned without a follow-up. We build an AI chatbot that closes all three gaps, grounded in your real catalog and order data so it answers with facts, not guesses.
The problem: three leaks in the ecommerce funnel
Site search misses synonyms and intent, so shoppers who can't find a product leave instead of buying. Order-status questions account for a large share of support volume and clog your team during peak season. And abandoned carts sit untouched because generic email blasts go out hours late and ignore why the buyer paused. Each leak is fixable, but only with a system that knows your products, your orders, and your customers in real time.
How our AI chatbot for ecommerce solves it
We connect the chatbot to your product catalog with retrieval over titles, descriptions, attributes, and stock, so discovery answers reflect what's actually available. Order tracking pulls live status from your platform or carrier API and answers in plain language with the real ETA. Cart recovery triggers a contextual conversation, on-site or over WhatsApp and email, that addresses the specific objection (price, sizing, shipping) instead of a one-size-fits-all coupon.
Built on your stack, not a generic widget
We integrate with Shopify, WooCommerce, VTEX, Tienda Nube, and custom backends through their APIs and webhooks. Retrieval is grounded so the bot cites real SKUs and never invents prices or stock. Human handoff routes edge cases to your team with full context, and every conversation is logged so you can audit answers and tune them. Our team has shipped automation handling 50K+ daily executions, so this is built to hold up under Black Friday load.
Measurement is part of the build
We instrument the chatbot from day one: discovery-to-add-to-cart rate, ticket deflection on order status, recovered-cart revenue, and containment rate. You get a dashboard with these numbers, not vanity metrics. We run a two-week baseline, then iterate on the prompts and retrieval against your real conversation logs so the results compound.
How it works
- 01
Audit
We review your catalog structure, order system, support ticket mix, and cart abandonment data to find the highest-value entry point.
- 02
Integrate
We connect catalog, order, and cart data through your platform's APIs and ground the chatbot's retrieval on your real SKUs and stock.
- 03
Launch
We ship to a traffic slice first, watch real conversations, and tune retrieval and prompts before rolling out to full traffic.
- 04
Optimize
We track discovery, deflection, and recovered revenue weekly, then refine answers and triggers against logged conversations.
What you get
- Higher product discovery conversion as shoppers find items search used to miss
- Fewer order-status tickets through automated, live tracking answers
- Recovered cart revenue from contextual, objection-specific follow-ups
- Lower support cost per order with human handoff for edge cases only
- A grounded chatbot that cites real SKUs, prices, and stock, with no hallucinated answers
- A metrics dashboard covering containment, deflection, and recovered revenue
Questions
Which ecommerce platforms do you integrate with?
We integrate with Shopify, WooCommerce, VTEX, Tienda Nube, and custom backends through their APIs and webhooks. If your platform exposes catalog and order data, we can connect to it. We also support carrier APIs for live shipment tracking.
How do you stop the chatbot from giving wrong product or price answers?
We use retrieval grounded on your live catalog, so the bot answers from real SKUs, prices, and stock rather than from a trained guess. When data is missing or ambiguous, it says so and offers handoff. Every conversation is logged so you can audit and correct answers.
Can it handle order tracking without a human?
Yes. It pulls live status from your platform or carrier API and replies in plain language with the current state and ETA. This deflects a large share of repetitive order-status tickets, and anything outside its scope routes to your team with full context.
How does cart recovery work differently from email blasts?
Instead of a delayed generic coupon, the chatbot opens a contextual conversation tied to why the buyer paused, such as price, sizing, or shipping. It can reach the shopper on-site, over WhatsApp, or by email. Because it addresses the specific objection, recovery rates beat one-size-fits-all sequences.
How soon do we see measurable results?
We run a two-week baseline at launch, then report on discovery conversion, ticket deflection, and recovered-cart revenue. Most stores see movement on order-status deflection first since that volume is immediate and predictable. Discovery and recovery gains build as we tune against real logs.
