Quoting in 3 Minutes Instead of 24h: How an AI Agent Closes B2B RFQs

In traditional B2B trade, response time to a request for quotation (RFQ) often decides who wins the contract. Modern business buyers rarely reach out to a single supplier – typically, an identical email listing product requirements is sent simultaneously to three or four competitors. The winner is not necessarily the vendor offering the lowest price, but the one who delivers a complete, professional quotation first, before competing sales reps even finish opening their pricing spreadsheets.

Unfortunately, in most European enterprises, this workflow still relies on tedious manual labor: copying product SKU codes, checking stock levels in the ERP system, verifying customer-specific discount tiers, and manually formatting PDF offer documents. In business operations, this is known as a "dead process" – a repetitive, mechanical routine that drains two to four hours of a sales rep's working day.

Kluczowy fakt: According to research conducted by Responsive and APMP published by ITPro on AI adoption and ROI for B2B teams across the UK and EU, nearly two-thirds (around 65%) of European revenue leaders report measurable return on investment from AI implementations within their first year, with almost 20% achieving full ROI in under three months.

Agentic AI technology is emerging as the direct answer to commercial bottlenecks – autonomous executive systems that assume the operational burden of quote preparation without removing human decision-making authority.

What Is an AI Agent for B2B Quotations and RFQs?

An AI Quotation and RFQ Agent (a specialized variant of the Enterprise AI Agent by TrafficWatchdog) is custom-built artificial intelligence software designed for B2B companies, distributors, importers, and manufacturers who routinely process inbound quote requests via email.

Unlike standard website marketing chatbots, an AI Quotation Agent does not engage in casual chat on a public website. Instead, it operates directly inside the corporate inbox as a digital sales assistant available 24/7.

The system operates strictly under a Human-in-the-Loop model. This means the agent never dispatches an outbound email to a customer independently without explicit authorization from an employee. Its core responsibility is executing all analytical, parsing, and arithmetic tasks in the background, preparing a fully formulated email draft ready for quick review and one-click dispatch.

Step-by-Step Agent Workflow

1. Message Detection: The agent monitors the corporate inbox and identifies incoming quote inquiries (e.g., via intent detection, keywords, or manual tags applied by team members).
2. Extraction and Context Analysis: The model analyzes the inquiry: extracting requested SKUs, product model specifications, target quantities, preferred fulfillment dates, and specific delivery requirements.
3. Querying Internal Data Sources: The agent retrieves data from connected price lists (Excel, PDF, Google Sheets), ERP inventory levels, or historical account records in the CRM.
4. Mathematical Calculations: The system calculates accurate unit pricing, applies buyer-specific discount schedules, enforces margin floors, and handles currency conversions when applicable.
5. Draft and Document Generation: The agent drafts a personalized email response and – when required by the workflow – generates attachments (formal PDF quotation, Excel breakdown, or customized Word document reflecting company branding).
6. Internal Sales Briefing Notes: The system appends an internal note to streamline verification, e.g.: "Client did not specify quantity – generated two options (10 and 50 units). Item Z is missing from current price list – requires manual cost confirmation from supplier".
7. Approval and Dispatch: In the morning, the sales rep reviews the prepared draft in under 60 seconds and dispatches the polished proposal with a single click.

Even when incoming RFQs lack key details, the bot does not stall the workflow. Instead of dropping the task, it compiles the best possible partial quote and flags missing variables within the internal memo.

Why European B2B Markets Are Transitioning to AI-Driven Quotations

According to official data published in the Eurostat report on AI adoption in enterprises, an average of 19.9% of businesses in the European Union utilized artificial intelligence solutions in 2025, with Nordic economies surpassing 35-42%. In large enterprise tiers, adoption reaches 55%. Furthermore, Eurostat data on enterprise AI applications demonstrates that 34.7% of EU businesses leverage AI across sales and marketing, while 31.05% utilize it to streamline administrative workflows.

In markets where national enterprise AI penetration sits lower, such as Poland at 8.4%, implementing a dedicated quoting agent creates an asymmetric competitive advantage over rivals still trapped in slow, manual quote preparation cycles.

Kluczowy fakt: A case study on Czech insurer Direct Pojistovna implemented with Microsoft revealed that deploying algorithms to analyze complex documentation cut quoting and inquiry processing times from 15 minutes down to just 2 minutes per case – an 87% reduction in handling time.

Additionally, according to insights shared by AIPORT.pl on eliminating dead processes in B2B wholesale, relieving sales teams of just 40% of their repetitive calculations allows companies to achieve full ROI on agentic systems within 2 to 5 months.

Data Sources and Technical Integration Without an IT Overhaul

A common concern among Commercial Directors and eCommerce Managers is the belief that deploying an AI agent requires months of system overhaul and an expensive ERP integration. In practice, the TrafficWatchdog AI Quotation Agent adapts directly to an organization's existing tech stack:

• Primary Price Lists: Spreadsheets (Excel, Google Sheets) or PDF catalogs outlining baseline pricing and volume-based breaks.
• Inventory and Sales Systems (ERP / CRM): Direct query of real-time stock levels, current acquisition costs, and customer-specific discount agreements.
• External Supplier Portals: Automated live lookups for market pricing, currency exchange fluctuations, and sub-supplier component availability.
• Legacy System Support (No API): When internal software lacks public APIs, the agent can simulate browser-based human operations, logging securely into internal systems (even via private corporate VPN tunnels) to pull stock data or assemble order requisitions.

Email Inbox Integration

The system runs smoothly within Google Workspace (using Google Apps Script) or Microsoft 365 (via Microsoft Graph API / Power Automate), as well as on any standard mail server supporting IMAP and webhooks.

For example, inside Gmail, a sales rep can label an email "Quote Request" with one click. The agent immediately extracts requirements, queries internal databases, calculates the offer, and leaves a completed draft in the drafts folder. Alternatively, the agent can run in continuous listening mode, autonomously detecting quote requests arriving at general sales mailboxes.

Regulatory Compliance: GDPR, EU AI Act, and Data Security

Deploying autonomous systems across European business environments demands rigorous regulatory compliance. As Article 50 of the EU AI Act enforces strict transparency obligations, TrafficWatchdog's architecture handles legal compliance and security without compromise:

1. Human-in-the-Loop and Legal Liability: Because a human employee conducts final review and sends the communication, legal liability remains with the enterprise – eliminating the risk of generative models dispatching unintended, legally binding commitments.
2. Data Minimization (GDPR): In line with established guidelines regarding email AI agent security and compliance under GDPR, the agent only reads threads specifically flagged or matching RFQ criteria. It never scans personal staff correspondence or harvests unnecessary personal data.
3. Encryption and Data Sovereignty: All internal pricing rules, markups, and margin databases are secured with enterprise-grade encryption. Sensitive company data is never used to train external or public foundation models.

Implementation Packages and Pricing

The TrafficWatchdog AI Quotation and RFQ Agent operates on a transparent subscription model (one-time setup + recurring monthly fee covering maintenance, monitoring, and model optimization):

• Starter Package (800 PLN / month): Up to 100 quotes prepared per month. Designed for smaller distributors and specialized B2B service firms.
• Growth Package (1,500 PLN / month): Up to 500 quotes per month, featuring priority technical IT support. Ideal for growing wholesalers and mid-sized manufacturers.
• Pro Package (3,500 PLN / month): Up to 2,500 quotes per month, built for high-volume RFQ operations with priority IT support.
• One-Time Implementation: Baseline setup cost is 2,500 PLN (covers workflow analysis, agent configuration, mail system integration, and ingestion of knowledge bases that do not require complex custom ERP/CRM logins). Custom enterprise deployments involving direct ERP/CRM connectors or headless VPN setups are quoted individually.

The system pairs flexibly with other modules in the TrafficWatchdog suite: eCommerce AI Sales Rep (handling live storefront chats), AI Phone Agent (managing inbound buyer phone calls), or AI Lead Agent (specializing in outbound prospect generation).

Podsumowanie

B2B quotation automation is no longer an experimental luxury – it has become an operational necessity for companies aiming to protect commercial margins and increase win rates.

• First-Mover Advantage: B2B buyers choose vendors who value their time. Cutting turnaround times from 24 hours down to minutes dramatically improves win rates on competitive RFQs.
• Elimination of the "Dead Process": Instead of spending hours copying data tables and verifying stock counts, sales reps can refocus on technical consulting, relationship management, and commercial negotiations.
• Complete Human Control: The Human-in-the-Loop model ensures total pricing and contractual safety – every proposal is verified by a team member before delivery.
• Zero Implementation Friction: Deployment requires no IT rebuilds; the system integrates directly with everyday tools (Gmail, Outlook, Excel, PDF, and existing ERPs).
• Proven Return on Investment: Quoting agent deployments across European firms save up to 87–98% of offer drafting time, delivering positive ROI within the first months of deployment.

Get in touch with the TrafficWatchdog team to book a complimentary quote workflow audit and discover how a dedicated AI Quotation Agent can streamline your B2B sales department.