AI Chatbot Development
for Ecommerce

A support chatbot is primarily informational — it answers questions like order status, shipping windows, and return policy. A service chatbot is action-capable — it initiates returns, issues refunds within defined limits, reschedules deliveries, and opens warranty tickets. Most enterprise programs combine both inside a single governed agent.

Access to your commerce platform, the systems we integrate with (ERP, OMS, PIM, CRM, service desk), your product and policy content, sample tickets or conversations, and defined success metrics. Discovery work turns that into a scoped plan.

Yes. We build chatbots that respect account hierarchies, contract pricing, custom catalogs, credit limits, approval workflows, and PO processes. B2B is one of our strongest areas.

Your product catalog, policies, help content, past tickets, macros, and — where relevant — anonymized conversation logs. We prioritize first-party sources so answers are grounded in your business, not public internet content.

We follow enterprise security practices: SSO, RBAC, PII redaction, encrypted data in transit and at rest, audit logging, and data residency configuration as required. We work within your security review process and documentation standards.

Yes. We build multilingual chatbots with localized tone, policy handling, and catalog data. Language coverage is scoped during discovery based on your markets.

A first production-ready release for a scoped use case typically lands in 8–16 weeks, depending on integration depth, data readiness, and governance requirements. Enterprise programs with multi-brand or multi-market scope run longer and are phased.

Adobe Commerce, Shopify Plus, Salesforce Commerce Cloud, BigCommerce, and commercetools. We’ve delivered complex builds on each and integrate chatbots natively into all of them.

Accuracy is engineered. We ground the chatbot in your data through retrieval, run evaluation harnesses with labeled test sets, monitor production accuracy continuously, and set thresholds for human escalation on low-confidence responses.

The chatbot escalates based on configurable rules: low confidence, sensitive topics, high-value accounts, explicit customer request, or unsupported actions. Full conversation context transfers into Zendesk, Gorgias, Salesforce, HubSpot, or your chosen platform.

Typical outcomes include reduced cost per contact, higher self-service resolution, faster response times, and incremental conversion from guided discovery. We commit to specific KPIs during scoping and measure against them in production.

Both. We build custom AI agents when the requirement demands it, and integrate with platforms like Intercom, Ada, or Zendesk AI when that’s the better fit. The choice is driven by your integration depth, governance needs, and long-term TCO — not vendor preference.