Corthex
PrestaShop AI chatbot with product context and staff handoff

Corthex / Integration

PrestaShop integration

PrestaShop AI chatbot that keeps product support close to checkout.

Corthex supports PrestaShop storefront chat flows with product context, authenticated customer recognition, Webservice-backed order/cart insight, connector streaming, staff handoff, and source-grounded answers.

01

Surface

02

Context

03

Stream

04

Escalate

Direct answer

PrestaShop AI chatbot

Connect the assistant to the site, store, or workflow customers already use.

Corthex supports PrestaShop storefront chat flows with product context, authenticated customer recognition, Webservice-backed order/cart insight, connector streaming, staff handoff, and source-grounded answers.

Written for prestashop merchants, ecommerce teams, and agencies supporting catalog-heavy stores. Search intent: Find a PrestaShop AI chatbot for support and commerce.

01

Answer storefront questions from page and knowledge context.

02

Link the PrestaShop Webservice for read-only customer, cart, and order insight.

03

Use native connector widgets for commerce chat and Message Center handoff.

04

Show subtle lookup and typing status while streaming.

05

Let staff resume conversations when a customer asks for help.

Install and connect

From platform install to Corthex Message Center.

Each integration page follows the same production path: connect the surface, pass useful context, and keep staff controls in Corthex.

Assistant

Corthex

Bot settings

Platform

PrestaShop

Webservice commerce connector

01

Install the Corthex PrestaShop module and choose a bot.

02

Generate and enable the PrestaShop Webservice key.

03

Open Corthex Message Center for customer and order context.

Integration depth

What Corthex can use once the connection is active.

When a logged-in shopper opens chat, Corthex can associate the conversation with the PrestaShop customer and show read-only cart and order context to support staff.

Data 01

Authenticated customer reference

Data 02

Current cart summary

Data 03

Recent orders and payment status

Data 04

Product and page context

Data 05

Conversation handoff state

Citable facts

Concrete signals without the noise.

Short facts make the page easier to scan for buyers, operators, and search systems.

02

Primary intent

PrestaShop AI chatbot

Page type

Integration page

Best fit

B2B support, commerce, developer, and operations teams

Corthex angle

Grounded answers, source context, staff control, and measurable workflows

Workflow

From source coverage to controlled customer answers.

The Corthex operating loop stays consistent, while the emphasis changes by page intent and audience.

Step 1

01

Connect the knowledge that should ground the answer

Corthex indexes files, URLs, product context, and operational policies so the assistant has a controlled evidence layer before it ever speaks to a visitor.

  • Upload documents, paste text, or import URLs.
  • Chunk and embed content for vector retrieval.
  • Keep source names available for answer citations.

Step 2

02

Answer with retrieval, page context, and tool policy

The assistant combines the user's message with relevant knowledge, current page context, and enabled tools such as commerce lookup or live site lookup.

  • Prefer exact source matches before general model knowledge.
  • Route unclear or risky questions to fallback behavior.
  • Show source-backed answers when evidence is available.

Step 3

03

Escalate, measure, and improve the coverage loop

Human teams can take over live conversations, review unresolved questions, and turn gaps into new knowledge sources or better prompts.

  • Use staff handoff for high-intent or complex conversations.
  • Track questions, leads, contact history, and usage.
  • Improve source coverage from real support demand.

Buyer intent

Why teams search for PrestaShop AI chatbots

Teams usually reach this page when a generic chatbot is no longer enough. They need an assistant that can answer from controlled knowledge, cite what it used, and hand off to people when confidence, compliance, or revenue risk demands it.

  • Replace ungrounded answers with retrieval-backed responses.
  • Make product, policy, and support content usable inside chat.
  • Keep operators in control of escalation and improvement loops.

Corthex approach

Commerce support should understand what the customer is viewing and who is logged in.

Corthex connector chat flows can carry product/page context, authenticated PrestaShop customer references, cart and order insight, handoff state, staff delivery, and source citations so support does not become detached from the store.

  • Knowledge ingestion keeps the answer surface tied to current sources.
  • Page context and live lookup reduce stale responses on public sites.
  • Staff console and analytics close the gap between automation and support quality.

Corthex structure

Built for clear customer answers

Each Corthex page uses a direct answer, fact table, workflow, comparison framing, related questions, and structured data. That gives buyers, operators, and AI assistants clear passages to understand and reuse.

  • Short answer block near the top of the page.
  • Specific feature facts instead of vague slogans.
  • Internal links that make the Corthex platform map easy to follow.

Source notes

References that inform this Corthex guide.

FAQ

Questions this page should answer clearly.

Can Corthex link a logged-in PrestaShop customer to a chat conversation?

Yes. The PrestaShop connector can send authenticated customer references with the chat session, allowing Corthex to associate the visitor with customer, cart, and order context when the Webservice integration is enabled.

Can staff inspect PrestaShop customer and order context from Corthex?

Yes. The commerce panel and Message Center can show linked customer, cart, and order context for support review, while the assistant only uses enabled read-only tools.

What makes Corthex useful for PrestaShop AI chatbots?

Corthex combines retrieval-augmented generation, source citations, embeddable chat, staff handoff, analytics, and APIs so teams can deploy assistants without losing control of answer quality.

Can Corthex answer from existing knowledge sources?

Yes. Corthex can ingest documents, URLs, and pasted text, then retrieve relevant chunks when a visitor asks a question. Storefront and widget flows can also include page context.

Can a human take over when the AI should not answer?

Yes. Corthex includes staff handoff workflows so support teams can pause the bot, continue the conversation, and preserve the full context for follow-up.

Does Corthex support developer integrations?

Yes. Corthex exposes API keys, REST endpoints, streaming chat, embeddable widgets, webhook-related workflows, and connector surfaces for production integrations.