AI Quoting Agent: How to Reduce RFQ Response Times to 2 Minutes
source: own elaboration
Implementation Schedule
The deployment of the AI Quoting Agent is carried out in a structured manner, ensuring complete data security and a smooth transition for the sales team to the new working model. Below is the standard implementation schedule for the system:
| Stage | Timeline | What Happens | Participants |
|---|---|---|---|
| 1. Analysis and Data Integration | Week 1 | Mapping quoting processes, integrating price lists (Excel, Google Sheets, ERP), and configuring secure email access to monitor incoming inquiries. | TrafficWatchdog Team, Client (IT and Sales Departments) |
| 2. AI Agent Configuration | Week 2 | Implementing calculation algorithms (margins, discounts, price variations) and draft response templates along with internal notes for the sales reps. | TrafficWatchdog Team |
| 3. Testing and Calibration | Week 3 | Launching the agent in a test environment using historical RFQs, verifying the accuracy of generated prices, and fine-tuning assistant precision. | TrafficWatchdog Team, designated sales representatives |
| 4. Deployment and Training | Week 4 | Production launch (generating draft quotes directly in the sales team's inboxes) and training the Customer Care team on verifying and approving responses. | Customer Care Team, TrafficWatchdog Team |
Speed that Decides the Win: A New Standard in B2B Quoting
In the world of B2B trade, time is not just money—it is the ultimate factor that decides who wins the contract. When a client sends a request for quotation (RFQ) to multiple suppliers, the deal almost always goes to the one who delivers a reliable, complete, and professionally prepared calculation first. Meanwhile, in the traditional model, sales representatives spend long hours manually checking price lists, verifying stock levels, recalculating margins, and formatting documents. The result? Preparing a quote can take anywhere from several hours to a few days, during which the competition might have already finalized the deal.
Adoption of artificial intelligence in business processes is accelerating at an unprecedented pace. As shown by the Slack Workforce Index report from mid-2025, the daily use of AI tools and autonomous agents by office workers has surged by 233% in just six months. Furthermore, according to forecasts by research firm Gartner, by the end of 2026, up to 40% of enterprise applications will feature integrated, task-oriented AI agents.
To address these challenges, TrafficWatchdog has developed the AI Agent for Quotations and RFQs. This is a dedicated corporate agent designed specifically for B2B enterprises that want to automate the repetitive process of quoting email inquiries and reduce response times to a mere 2 minutes.
Key Fact: The average ROI for AI-driven transformations in B2B companies stands at around 270% over a 13-month cycle, accompanied by a 25% to 40% leap in knowledge-worker productivity — IDC Analysis prepared for Automaize
What is an AI Quoting and RFQ Agent?
An AI Quoting Agent is an advanced system powered by artificial intelligence that acts like an indefatigable sales assistant. It constantly monitors the company's inbox, automatically detects and analyzes incoming RFQs, and then prepares a complete draft response containing the price calculation, the quote document, and internal guidance notes for the employee.
Crucially, the AI Agent DOES NOT send emails directly to clients without human oversight. It operates in a Human-in-the-loop (HITL) model, meaning it only prepares a ready-to-send draft in the mailbox. The sales representative simply verifies the prepared data, makes any necessary adjustments, and approves the send with a single click. This ensures the business retains full control over the commercial process while eliminating tedious manual labor.
How the AI Quoting Agent Works: Step-by-Step
- Inquiry Detection: The system continuously monitors the email inbox and identifies new messages containing requests for quotes.
- Content Analysis: The AI analyzes the email text, extracting key parameters: which products or services the client is asking for, in what quantities, the required delivery date, and any additional specifications.
- Data Source Retrieval: The agent connects to the company's knowledge bases (e.g., price lists in Excel, ERP, CRM, or supplier databases) to fetch current rates, stock availability, and discount structures.
- Mathematical Calculations: The system precisely calculates prices, taking into account volume thresholds, profit margins, client-specific discounts, and currency conversions.
- Quote Draft Generation: The agent drafts the body of the email and optionally generates attachments (e.g., a formal quote in PDF/Word or an Excel spreadsheet matching the company's branding).
- Adding Internal Notes: To every draft, the agent attaches clear notes for the sales representative (e.g., flagging missing details, suggesting alternative pricing tiers, or pointing out non-standard items that require human verification).
- Submitting for Verification: The completed draft is placed directly into the salesperson's drafts folder, ready for final review and dispatch.
Data Sources and Deployment Flexibility
One of the greatest advantages of TrafficWatchdog's AI Quoting Agent is its flexibility. The tool does not require the company to possess complex or expensive IT systems from day one—it adapts to the infrastructure the business already uses.
The agent can retrieve information from the following sources:
- Local Files and Tables: Price lists in Excel, Google Sheets, terms of service, and PDF catalogs.
- ERP and Warehouse Systems: Real-time data on stock levels, lead times, and purchase costs.
- CRM Systems and Customer Databases: Purchase history, individual commercial terms, and pre-approved discounts.
- Supplier Websites and the Web: Monitoring market prices and availability across external distributor portals.
- Document Templates: Ready-to-use quote templates in Word or Excel formats, which the agent automatically populates.
What if the company's internal systems do not have an open API? TrafficWatchdog's AI Agent can simulate human behavior in a web browser, securely logging into the system, pulling the required information, and inputting data without requiring costly software integrations.
Process Comparison: Traditional Quoting vs Working with an AI Agent
| Process Area | Traditional Quoting (Without AI Agent) | Quoting with an AI Quoting Agent |
|---|---|---|
| Quote Preparation Time | From 30 minutes to several days (depending on salesperson workload) | Around 2 minutes (draft ready immediately after receiving the email) |
| Service Availability | Only during office hours (Mon-Fri 8:00 AM - 4:00 PM) | 24 hours a day, 7 days a week, including holidays |
| Risk of Calculation Errors | High (errors in formulas, overlooked discounts, outdated prices) | Minimal (precise calculations based on up-to-date databases) |
| Quote Standardization | Low (each salesperson drafts emails and quotes in their own style) | High (consistent tone, professional PDF template, and corporate branding) |
| Role of Salesperson | Searching for data, calculating, and tedious formatting of documents | Substantive verification, relationship building, and closing deals |
Benefits for Key Industries and European Case Studies
Automating the quoting process yields measurable results across numerous B2B sectors, regardless of product catalog complexity. The tool is exceptionally effective for B2B manufacturers and distributors, where pricing models are multi-tiered and profit margins depend heavily on order volume. In service-based companies (such as advertising agencies, printing companies, or technical service providers), the agent automates the compilation of recurring cost components. The tool also revolutionizes operations for importers, wholesalers, and construction companies, where dynamic changes in raw material prices and currency exchange rates are critical.
Real-world deployments in the European market prove that AI Agents are not just a futuristic concept, but a powerful growth engine today:
- Order Optimization in Sweden: Swedish B2B food producer Ljusgarda faced a bottleneck in its sales department, where staff manually processed orders from over 200 retailers. As highlighted in the case study published by Alice Labs, deploying a dedicated AI Agent for order processing and quoting automated 70-80% of communication volume, leading to an 83% reduction in operating costs and savings of 250,000 USD annually.
- Instant Export Quoting: A European B2B electronics distributor, whose quote turnaround time for foreign markets previously took 3 to 4 days, implemented an automated quoting system. According to the case study of the SaleAI platform, the time required to generate quotes dropped to under 30 minutes, resulting in securing contracts worth a total of 450,000 USD in just 90 days.
Key Fact: Operating costs associated with multi-stage commercial proposal and campaign preparation can plummet by over 95%, while turnaround times are slashed from weeks to just a few hours — Digital Clarity Group study
Legal Compliance: GDPR, EU AI Act, and Data Security
Implementing artificial intelligence in the European B2B sector requires strict adherence to rigorous legal standards. Dedicated solutions from TrafficWatchdog are fully aligned with European regulations:
- EU AI Act: The new EU regulation mandates operational transparency. The deployment of TrafficWatchdog's AI Quoting Agent is built on the principle of human oversight (Human-In-The-Loop), meaning the AI serves as an assistant, while the final decision and dispatch are always approved by a human. As explained in the legal analysis by MindStudio, systems supporting sales processes are classified as minimal or limited risk systems, provided that operational transparency is maintained.
- GDPR: Processing customer contact details from emails is subject to strict protection. The architecture of TrafficWatchdog systems is designed in accordance with the Privacy-by-design principle. Unlike uncontrolled "Shadow AI" tools (where employees paste sensitive company data into public language models), this dedicated AI Agent operates in a secure, encrypted environment. According to the security analysis by BigID, the key to GDPR compliance is maintaining full control over data retention and having the ability to immediately delete data from the system's contextual memory upon request.
FAQ – Frequently Asked Questions
Does the bot reply to customers automatically without my knowledge? No. The AI Quoting Agent only prepares a draft response in your mailbox. You decide when and in what form the quote is sent to the client.
How long does system implementation take? It depends entirely on the complexity of the integrations. A simple setup based on an Excel price list and Gmail integration can be ready within a few business days. More advanced projects linking ERP and CRM systems are typically completed within one to two weeks.
Do I need an advanced ERP system to use the Agent? No. The AI Agent works perfectly with simple databases, such as Excel spreadsheets or PDF files. You can start with basic tools and gradually roll out ERP or CRM integrations as your business grows.
What if the inquiry is missing key details (e.g., product quantities)? The AI Agent always aims to draft the most useful response possible. If data is missing, the system will prepare a multi-variant quote (e.g., for 10, 50, and 100 units) and clearly highlight in the internal notes for the salesperson which details need to be clarified.
Are my business data and price lists secure? Yes. Data security is our top priority. All information is transmitted and stored using encryption, and the agent only has access to the specific resources that you explicitly share with it.
What are the costs of implementing and maintaining the AI Agent? The one-time implementation fee starts at 2,500 PLN. The monthly subscription depends on the selected package: Starter (800 PLN/mo for up to 100 quotes), Growth (1,500 PLN/mo for up to 500 quotes), and Pro (3,500 PLN/mo for up to 2,500 quotes). Higher plans include priority IT support.
Summary
Deploying a dedicated AI Agent for quotes and RFQs is a strategic move for any B2B company looking to gain a competitive edge through lightning-fast customer service. By automating repetitive calculations, sales representatives can focus on what truly drives revenue—building relationships and closing deals.
Key Takeaways:
- Reduced Response Time: The AI Agent drafts a complete quote in just 2 minutes from receiving the inquiry.
- Full Control (Human-in-the-loop): The AI never sends messages autonomously—a salesperson always reviews and approves the final offer.
- Flexibility and Integration: The system works with simple Excel files as well as advanced ERP/CRM systems, integrating seamlessly with Gmail, Outlook, and traditional IMAP mailboxes.
- Legal Compliance: The solution meets the strict requirements of GDPR and the EU AI Act, ensuring the highest level of data security.
- Attractive Pricing Model: A transparent pricing structure (implementation from 2,500 PLN and subscriptions starting at 800 PLN/mo) allows businesses to scale the tool to their operations.
Want to see how the AI Quoting Agent can streamline sales processes in your company? Contact the TrafficWatchdog team today to request a free, no-obligation needs assessment and a customized project quote!
