First to Respond Wins: How an AI Quoting Agent Automatically Closes RFQs

The Race for the B2B Customer: Why Seconds Decide the Margin

In the traditional B2B sales model, the process of handling requests for quotations (RFQ) represents one of the most serious operational bottlenecks. When a potential partner sends a request for a quote, they usually do not limit themselves to a single supplier – they send it in parallel to several competing entities. At this moment, a ruthless race against time begins.

As indicated by market analyses published on the Medium platform, from 35% to 50% of contracts go to the supplier who is the first to provide a substantive response. Every hour of delay dramatically lowers the chances of conversion.

Meanwhile, in most companies, preparing an offer is a tedious, manual process. A sales representative must open the email, analyze an inconsistent and often chaotic description, log into the ERP system or open an Excel spreadsheet, check current inventory levels, verify individual discounts assigned to the customer in the CRM system, and finally manually format a PDF document or email content. The whole process takes from several dozen minutes to even several hours of work per single inquiry.

Kluczowy fakt: According to market data, manually preparing a complex quotation costs a sales specialist an average of 30 minutes to 4 hours. Implementing automation allows this time to be reduced to just a few dozen seconds, which drastically increases the win rate of offers. – Data from Glissando.ai analysis

In the European market, there is a clear acceleration in the adoption of artificial intelligence in sales processes. According to the Eurostat report on AI adoption, the percentage of enterprises in the European Union using AI technologies rose to 20% in 2025. However, strong polarization is visible: Nordic countries, such as Denmark (42%) and Finland (37.8%), lead the revolution, while Poland (8.4%) is only now catching up.

Most Polish companies are starting to notice this gap. According to the "Business Digital Transformation Monitor" study prepared by KPMG and Microsoft, as many as 28% of Polish organizations have already implemented AI-based tools, and another 30% plan to do so in the near future. This is the perfect moment to build a competitive advantage using dedicated autonomous agents.

What is an AI Agent for Pricing and RFQs?

An AI Agent for pricing and RFQs from TrafficWatchdog is an innovative tool of the Agentic AI class (autonomous task agents), designed for companies handling B2B inquiries via email. It is a specialized variant of the Corporate AI Agent, whose sole task is to constantly monitor the inbox, instantly analyze incoming RFQs, and automatically prepare ready-made price proposals.

Crucially from a security and business control perspective, the AI Agent operates in a Human-in-the-loop model. This means that the system never sends messages directly to the customer without employee approval. Instead, it prepares a complete, professional draft response along with necessary attachments and internal notes. The sales representative's role is limited to verifying the calculations, making any necessary corrections, and clicking "Send".

How the Automatic Quoting Mechanism Works Step-by-Step

1. Message detection: The AI Agent constantly monitors the company's email inbox. It can operate in "listening" mode (automatically catching keywords such as "quote", "offer", "inquiry") or react to manual label assignment by an employee (e.g., "For Quote" label in Gmail).
2. Deep content analysis: The bot analyzes the email content, easily handling chaotic language, lack of formatting, or linguistic errors. It extracts key parameters: requested products or services, desired quantities, delivery times, and specific customer requirements.
3. Data aggregation from company systems: The Agent connects to the enterprise's knowledge sources. It can retrieve data from Excel files, Google Sheets, price lists in PDF format, and integrate directly with CRM, ERP systems, warehouse databases, or external supplier platforms.
4. Financial calculation: Based on the retrieved data, the bot performs complex mathematical calculations. It takes into account discount thresholds, margins, current exchange rates, logistics costs, and the customer's purchase history recorded in the CRM.
5. Output generation: The Agent creates a complete offer package tailored to the company's standards. This can be a direct email draft, a formatted Word/PDF document with the company logo, or a spreadsheet listing the items.
6. Adding internal notes for the salesperson: This is a unique feature of the system. The bot always generates added value – if key data is missing from the customer's request (e.g., order volume), the Agent will prepare alternative quotes and attach a note: "The customer did not specify the quantity. I have prepared options for 100 and 500 units. Item X is not in our price list – please verify availability with the supplier."
7. Submission for verification: The ready draft appears directly in the draft folder of the salesperson's email inbox, or the system sends a notification about the prepared quote.

Process Comparison: Traditional Quoting vs. AI Agent from TrafficWatchdog

To illustrate the difference in operational efficiency, the table below compares classic, manual quoting with the process supported by a dedicated AI Agent from TrafficWatchdog.

How the AI Agent Supports Various B2B Industries

The technological flexibility of the AI Quoting Agent allows it to adapt perfectly to the specifics of various industries:

• B2B manufacturers and distributors: With hundreds or thousands of product items, variable quantity thresholds, and individual commercial terms for regular customers, manual calculations can be a nightmare. The Agent integrates with the ERP system and instantly maps the request to the correct product ID, checking the price level assigned to the customer.
• Importers and wholesalers: Dynamic changes in purchase prices from foreign suppliers and constant exchange rate fluctuations require continuous vigilance. The AI Agent can automatically convert values based on current exchange rate tables and verify inventory levels in real time.
• Service companies (advertising agencies, printing houses, technical services): Although each service is often priced individually, the process is based on fixed patterns (e.g., man-hours multiplied by the rate + cost of materials). The AI Agent collects these components from the email brief and prepares a coherent cost estimate.
• IT, Software, and SaaS industry: Creating offers for licenses, implementations, or maintenance services in various pricing models is cut to a minimum. The Agent generates a clear comparison of options for the end customer.

Kluczowy fakt: Enterprises implementing advanced agentic systems in quoting processes record a return on investment (ROI) of 3x to even 6x in the very first operational year, while simultaneously increasing the volume of sent offers by nearly 30% without the need to increase headcount. – AI Agents ROI Research Report 2026

European Legal Context: Security and Regulatory Compliance

Implementing autonomous agents in companies operating within the European Union requires compliance with strict legal standards. Unlike other global markets, two legal acts are of key importance in Europe: GDPR and the newly implemented EU AI Act.

1. Compliance with the EU AI Act

The European Artificial Intelligence Act introduces a classification of AI systems based on the level of risk they generate. The dedicated AI Quoting Agent from TrafficWatchdog qualifies for the minimal or limited risk category.

The most important legal obligation imposed by the legislator in this group is the transparency principle – if the system were to communicate directly with the customer (e.g., in a chat), the customer must be clearly informed of this fact. In the case of the TrafficWatchdog Quoting Agent, thanks to the Human-in-the-loop model, the final offer is always sent by a human, which further minimizes legal risks associated with automation.

2. GDPR and Personal Data Protection

RFQs arriving in the email inbox contain personal data (names, email addresses, phone numbers). The AI Agent from TrafficWatchdog processes only the information necessary to prepare the offer. Data is encrypted, and the bot's permissions to the mailbox are restricted to the absolute minimum (e.g., through integration with Google Apps Script, the bot analyzes only messages marked with a dedicated label, without access to the rest of the company's correspondence).

Implementation Economics: How Much Does an AI Quoting Agent Cost?

Investing in quoting process automation with TrafficWatchdog is based on a transparent subscription model combined with a one-time implementation fee. The pricing is designed to meet the needs of both smaller companies and large trading enterprises:

• Starter Package – 800 PLN / month: Includes a limit of up to 100 quotes per month. Ideal for smaller B2B companies taking their first steps in automation.
• Growth Package – 1,500 PLN / month: Includes a limit of up to 500 quotes per month and priority IT support. The most popular choice for rapidly growing distributors.
• Pro Package – 3,500 PLN / month: Includes a limit of up to 2,500 quotes per month and full, dedicated technical support.

The one-time implementation cost is 2,500 PLN for the base configuration (email integration, connecting the knowledge base in the form of Excel/PDF price lists). In the case of advanced, dedicated two-way integrations with ERP systems (e.g., SAP, Comarch ERP Optima) or CRM (e.g., Salesforce), the valuation of development and integration work is prepared individually after a free technical analysis.

Solution Comparison

Summary

Implementing an AI Agent for pricing and RFQs is a strategic step toward modern, lightning-fast B2B sales. By eliminating routine, repetitive administrative tasks, you ensure that no RFQ is left unanswered, and your sales team can focus on what truly generates profits – building relationships and closing deals.

Key Takeaways:

• Speed is conversion: Reducing response time (Time-to-Quote) from several hours to a few minutes directly translates into a higher win rate for contracts.
• 24/7 operation: The Agent constantly prepares quotes, so in the morning your salespeople are greeted with a set of ready-to-send drafts.
• 0% calculation errors: Automatic integration with price lists eliminates the risk of mistakes in margin or discount calculations.
• Security and control: Thanks to the Human-in-the-loop model, you retain 100% control over what is ultimately sent to the customer.

Want to see how TrafficWatchdog's AI Agent can streamline processes in your company? Contact us today to order a free, no-obligation analysis of your quoting process and an individual implementation quote.