AI agent to support B2B sales
Automate your B2B and B2C quoting and customer service processes. Implement an intelligent assistant that autonomously analyzes emails, prepares quotes, and responds to product questions, complaint statuses, and more. Free up salespeople's time for relationship building and improve customer service by shortening response times and improving their quality.
What is Agent AI for Sales Support?
Agent AI is an advanced, automated system based on the n8n tool. It was created for manufacturing and distribution companies to independently analyze and respond to sales emails, relieving human interaction with customer service.
An AI agent is not just a chatbot – it is a configured tool that integrates with your knowledge base and systems to:
Independently analyze the content of incoming sales emails.
Identify customer intentions (purchase, product inquiry, complaint, etc.)
Prepare precise answers or ready-made baskets of products.
In what situations does Agent AI help your team?
AI Agent for the Sales Department
(request for quotation)
When a customer writes: "I would like to request a quote", "I want to order" or provides a list of EAN/SKU4 codes.
Agent Action: It recognizes products, checks availability, and creates a ready-made shopping cart or price quote. If an item is out of stock, it suggests substitutes or requests clarification.
AI Agent for the Logistics Department
(order statuses and logistics)
Questions like, "Where is my package?" or "What is the status of my order?"
Agent Action: Verifies the order number in the system and automatically informs the customer about the implementation stage.
AI Agent for the Complaints Department
(initial complaint handling)
Reports such as: "product damaged", "does not work", "item missing".
Agent Action: Verifies whether the report complies with the complaint process and instructs the customer on next steps.
AI Agent for the Technical Department
(technical inquiries)
When a customer asks about detailed product specifications, assembly methods, component fit or servicing procedures.
Agent Action: It analyzes user manuals, technical data sheets, and external knowledge bases. Based on these, it prepares precise, step-by-step instructions or explains technical complexities without involving engineers.
AI Agent for Customer Service
(product inquiries)
When a customer asks about technical data, dimensions, availability or a catalog card, without the clear intention of buying "here and now".
Agent Action: Collects data from PIM/ERP and other specified sources and provides precise technical answers.
Security and protective filters used in the AI Agent
Our solution is designed with business security in mind. The AI agent has built-in security mechanisms that:
• Filter out unwanted topics: The agent will not engage in discussions about the weather, recipes or life advice.
• Blocks manipulation attempts: The system is resistant to attempts to extract internal data, system prompts or API tokens.
• Detect dangerous content: Automatic blocking of content that does not comply with the rules (violence, fraud).
Implementation without changing habits: AI agent makes work easier in already available tools
A key advantage of Cognize's AI Agent is that its implementation doesn't require your team to learn another complex tool. Automation integrates directly with your existing systems—your email inbox or ticketing system.
Natural work environment
Salespeople and customer service representatives don't have to leave their email.
Ready-made answer suggestions
For each incoming inquiry (offer, product or order status), the AI Agent automatically prepares a draft version of the response message.
Full control and editing
The suggested content appears exactly where the employee would normally type a response. They can edit, personalize, or simply approve it with a single click at any time.
No resistance to new technology
Because employees operate in their natural workspace, the barrier to entry is virtually nonexistent. Instead of wasting time on tedious data entry, the sales team simply verifies the work performed by the system.
How do we implement AI Agent to support sales in B2B eCommerce?
01
Workshop and analysis
During the Workshop Meeting (online), we define the email handling process (function diagram), identify message sources (triggers), define use cases and establish a concept for creating offers.
02
Analytical work
Meeting with the IT department to determine the method of data exchange and data analysis.
03
Configuration and implementation
Implementing logic in the n8n tool, configuring API queries, creating email templates, and connecting the product database. At this stage, we also implement dedicated processes.
04
Maintenance and supervision
Constant monitoring of agent performance, response optimization and technical support.
Case study
How does the AI Agent work in practice?
Main machine
Analysis of emails with classification into request for quotation, status inquiry, general inquiry, quotation process, etc.
The process of creating a product dictionary based on customer queries
Customers name products differently, we detect this and teach the agent by building appropriate dictionaries
Order status inquiry
Based on the customer's email inquiry, the algorithm learns the status and internal comment for the order and responds to the customer
Customer inquiry
Assistant's response to inquiry regarding lamps.
FAQ
