Table of Contents

B2B product spotlight: A beginner’s guide to commercetools’ Intake Agent

Anastasia Drougka
Anastasia Drougka
Product Team Lead, commercetools
Julia Rabkin
Julia Rabkin
Senior B2B Product Expert, commercetools
Published
June 16, 2026
Estimated reading time
1
minutes

Key takeaways

  • Manual B2B order intake is a major hidden cost driver, with sales and operations teams spending significant time translating unstructured buyer requests into structured quotes, carts or orders.
  • This inefficiency directly limits scalability, slows down quote-to-order cycles, increases error rates and negatively impacts conversion rates and revenue growth.
  • Agentic commerce introduces a new model where AI agents can interpret unstructured inputs, apply business rules and automatically generate accurate quotes and carts using real-time commerce data.
  • commercetools’ B2B Intake Agent operationalizes this shift by embedding AI-driven intake natively into the commerce platform, helping businesses reduce manual work, improve productivity and unlock faster, more scalable B2B sales processes.

The B2B Intake Agent for manufacturers, distributors and wholesalers

Manual data entry is a deeper problem than many B2B leaders realize 

B2B sales teams are drowning in manual data entry as reps spend substantial time on manual order handling and administrative data entry. The reason? Many buyers submit orders through email, PDFs, Excel files or other unstructured formats rather than structured digital checkout flows. Vague descriptions like “the red compressor I saw two weeks ago” also end up in salespeople’s inboxes. 

As a result, the rep goes through the following actions: 

  • Open their CRM system.
  • Create an opportunity.
  • Manually look up each product in a separate ERP system, potentially cross-checking with a warehouse or inventory management system.
  • Build the quote line by line (potentially in a separate system, or manually).
  • Cross-check all of this with that customer’s specific pricing and catalog entitlements.

And only then sends it back to the customer. 

This can take anywhere from 30 minutes to a few days, depending on the complexity of the incoming request and the internal systems involved. The seller then waits for a PO (Purchase Order), manually attaches it to the opportunity and hands it to order entry. The result: 350 quotes per month is the hard ceiling of what the physical team can process. Does this sound familiar? 

Market data proves this is an issue more widespread than initially thought: 

  • Sales reps spend 70% of their time on administrative tasks. 
  • In many organizations, customer service and inside sales reps spend 20–40% of their time just on manual order handling. That’s one to two full workdays per week per person just entering data.

The problem with manual order intake goes beyond the effective use of salespeople’s time. It also introduces measurable error risk: 1-3% of manual entries, such as invoicing, pricing and contract data, are incorrect and require manual intervention. That makes the process not only slower for B2B sellers but also — and especially — for buyers, introducing more friction and lengthening sales cycles, in a world where instant answers are expected. 

Many B2B organizations agree that manual data entry and processing is their #1 bottleneck in their sales operations. When sales reps handle ~200 quotes/week per rep with a 2–3 week turnaround or clerks spend 30–60 minutes manually entering a 50-line order, the problem is more than a simple case of operational inefficiency. It directly increases costs and impacts revenue potential. 

The financial impact of manual order entry: A quick math exercise

Let’s focus on a single B2B order-entry use case: A customer submits a 50-line order via email or spreadsheet. Before the order can be processed, an operations clerk must:

  • Review the document.
  • Match the SKUs to the product catalog. (Keep in mind that the SKUs that the customer submitted might come from their ERP system, which could have a different code than the SKU at the seller’s organization.)
  • Validate customer-specific entitlements, including pricing and discounts.
  • Check product availability across multiple warehouses and inventory systems.
  • Re-enter the information into the commerce or ERP system.

On average, this process takes 45 minutes per order. Now imagine the business processes 1,000 of these orders per month. That equals:

  • 45,000 minutes of manual work every month.
  • 750 hours/month spent purely on order entry.
  • More than 9 full-time employees dedicated to repetitive administrative processing.

At an estimated and rather conservative cost of €65K per employee annually, that represents nearly €600K per year spent on manual order processing alone.

And that’s before factoring in:

  • Order-entry errors and rework.
  • Delayed processing times.
  • Employee productivity loss.
  • Lost sales from slow response times.
  • Customer frustration and churn.

This is why manual B2B order intake is not just an operational inefficiency — it becomes a direct cost and revenue problem as order volumes scale.

Agentic commerce: Turning unstructured requests into scalable B2B operations

AI, automation and data-driven workflows are fundamentally reshaping the definition of productivity. Data shows that AI has arrived in B2B eCommerce

  • 75% of sales reps in B2B organizations report using AI-enabled tools at work. 
  • 20% of sellers will be compelled to respond to AI-powered buyer agents with dynamically delivered counteroffers via seller-controlled agents in 2026. 

Instead of requiring sales teams to manually interpret emails, PDFs, spreadsheets or vague product descriptions, agentic systems can understand intent, map it to the correct catalog items, apply customer-specific pricing and discounts, and automatically generate structured quotes or carts, all while keeping the humans in the loop for where their expertise adds value.

This matters because B2B order intake is inherently complex: It depends on customer contracts, business units, pricing agreements, product availability and approval rules. Traditionally, humans would bridge all of this manually, which slows down sales processes, introduces errors and creates a subpar customer experience.

Agentic commerce can remove this bottleneck by combining AI reasoning with real-time commerce data and business rules. The result is:

  • Faster processing of quotes and orders.
  • Less manual work for sales, support and operations teams.
  • Fewer errors from re-keying and disconnected systems.
  • Augmented sales teams, so they can focus on strategic value selling and customer relationships. 
  • Greater scalability without adding headcount.

So, how can agentic commerce actually solve the unstructured data problem that so many manufacturers, distributors and wholesalers face? 

Agentic commerce for B2B in action: commercetools’ Intake Agent

The “offline-to-order” bottleneck is today’s reality for a large portion of B2B organizations, and it’s unlikely that it will change anytime soon, as customers who currently send requests via email, PDFs, phone calls and vague descriptions of what they need will continue to do so. The problem isn’t how customers are sending orders, but how these orders are processed internally. This is where agentic commerce — and commercetools’ B2B Intake Agent, more specifically — can help.

The B2B Intake Agent in more detail 

The B2B Intake Agent is a seller-side, API-first AI assistant that converts unstructured buyer requests into structured quotes or carts across any channel.

B2B Intake Agent
ANY INPUT ANY OUTPUT ANY CHANNEL
Text, PDF, spreadsheets, Word documents, and physical lists via scan. Cart drafts, quotes, recurring orders or a replenishment plan. Merchant Center (commercetools' tooling), HTTP API, Zendesk, Salesforce, Teams, Slack, Storefront portal, all via API-based integrations.
An architectural overview of the B2B Intake Agent.

What the B2B Intake Agent does: 

  • Multi-format ingestion: AI ingestion of email bodies, PDFs, Excel, Word documents and CSV files.
  • Automated mapping: Extraction of SKUs and quantities with automated mapping to the commercetools product catalog.
  • Customer resolution: Matching sender email addresses to specific Business Units already recorded in the system. 
  • Quote initiation: Sales reps can directly prepare and communicate quotes from these unstructured inputs to the buyer. The Agent provides a fully editable draft. 
  • Cart creation: Sales reps can create a “draft Cart” for the customer directly from unstructured inputs, which the seller can fully edit or freeze if necessary. 
  • API-first integration with other systems of record: A callable API endpoint allowing for integration for real-time sync with the upstream or downstream processes and tools already in place.
Example of how the B2B Intake Agent transforms a request with unstructured data into a cart.

Key differentiators 

Unlike disconnected AI tools or external intake systems, commercetools’ B2B Intake Agent works natively within commercetools’ unified commerce ecosystem, mapping unstructured inputs directly to catalog data, business units, customer-specific pricing, entitlements and discounts without requiring separate orchestration layers or custom middleware without the need for an MCP server. 

By harmonizing products, customer accounts, pricing, business rules and organizational structures in a single platform, the agent can accurately interpret and convert complex intake requests into actionable carts and orders with minimal human intervention.

In addition, the B2B Intake Agent differentiates in the following ways: 

Future-proof by design: As B2B commerce rapidly evolves toward AI-assisted buying and quoting experiences, the Intake Agent enables organizations to adopt emerging AI capabilities without being constrained by legacy architectures. Businesses can integrate new LLM-driven parsing, intelligent product matching and AI-assisted cart generation capabilities as the market evolves, helping them move faster than competitors dependent on rigid legacy commerce systems.

Integrations and sync: The Intake Agent is designed to integrate seamlessly into complex enterprise environments. It can connect with ERP systems for inventory and fulfillment data, CRMs for customer context, pricing engines, procurement workflows and custom SKU mapping logic, enabling businesses to automate highly specialized B2B processes with the technologies they already have in place, without extensive replatforming or brittle custom solutions.

Enterprise-grade automation for complex B2B operations: The Intake Agent supports the realities of enterprise B2B commerce, including large catalogs, negotiated pricing, customer-specific assortments and multi-business-unit purchasing structures. By embedding AI-driven intake directly into commerce operations, organizations can improve speed, reduce order-entry errors and increase sales team productivity while maintaining governance, accuracy and operational control.

Benefits of commercetools’ B2B Intake Agent 

With the B2B Intake Agent, businesses can accelerate sales workflows while reducing operational complexity. The result is a faster, more scalable and AI-ready approach to B2B order intake that improves both customer experience and internal productivity.

Driving conversion and revenue growth

The Intake Agent helps businesses respond more quickly to order entry and customer purchasing decisions by automating the translation of unstructured requests into carts and quote drafts.

Sales and service teams can:

  • Respond to quotes and order requests significantly faster.
  • Reduce delays caused by manual SKU matching and data entry.
  • Improve accuracy for customer-specific pricing, assortments and discounts.
  • Handle more quote requests without increasing headcount.
  • Deliver a more seamless and responsive buying experience.

By reducing friction in the buying journey, businesses can improve their conversion rates, accelerate deal cycles and increase customer satisfaction. Faster and more accurate order intake workflows also create opportunities to increase average order value (AOV) and customer lifetime value (CLV) through more efficient sales engagement.

Because the Intake Agent is built natively on Sphere, the commercetools platform, these same capabilities also establish the foundation for future AI-driven B2B sales experiences, including autonomous quoting, intelligent product recommendations and other agentic commerce workflows.

Reducing complexity and improving productivity

The Intake Agent eliminates the need for sales teams and customer service representatives to spend hours manually interpreting customer documents, re-entering product data and validating pricing across disconnected systems.

Instead of relying on fragmented intake workflows and custom integrations, businesses can centralize AI-driven order intake directly within the commerce platform, where other digital orders already live. This helps organizations:

  • Lower total cost of ownership (TCO).
  • Reduce manual order-entry and quoting effort.
  • Improve employee productivity and operational efficiency.
  • Minimize errors caused by re-keying and disconnected systems.
  • Scale B2B sales operations without proportional increases in staffing.
  • Reduce dependency on custom-built order intake tooling and legacy workflows.
  • Ensure a unified view of all orders across all customers, products and channels, enabling better decision-making across the entire commerce operations landscape.

By automating repetitive administrative work, businesses can free sales teams to focus on higher-value customer engagement and revenue-generating activities rather than manual processing tasks. The result is more efficient, scalable and future-ready B2B commerce operations. 

Get started

With commercetools’ B2B Intake Agent, businesses can move from fragmented, manual order processing to an AI-driven, fully integrated order intake experience that works natively across their existing commerce ecosystem.

This means businesses can start:

  • Eliminating manual data entry from core sales operations.
  • Accelerating quote and order processing from days to minutes.
  • Increasing sales team productivity by removing repetitive administrative work.
  • Reducing costly errors caused by re-keying and disconnected systems.
  • Unlocking higher conversion rates and revenue by responding faster to customers.
  • Building a scalable foundation for future AI-driven and agentic commerce workflows.

Ready to explore the B2B Intake Agent? Contact us for more information.

Anastasia Drougka
Anastasia Drougka
Product Team Lead, commercetools

Anastasia Drougka is a Staff Product Manager at commercetools. She has 10 years of experience in eCommerce and has worked with a number of different industries across the globe as an eCommerce specialist.

Julia Rabkin
Julia Rabkin
Senior B2B Product Expert, commercetools

With over a decade of experience across product and marketing teams in the tech world, Julia specializes in creating innovative, customer-first strategies and driving cross-functional growth and go-to-market initiatives.