Agentic commerce – are autonomous sales systems the future of B2B?

In recent years, artificial intelligence has begun to change the way e-commerce operates on many levels. Initially, its applications focused mainly on marketing automation, product recommendations, and sales data analysis. As technology develops, however, a new direction in digital commerce is emerging, increasingly referred to as agentic commerce.

Agentic commerce refers to a model in which autonomous systems based on artificial intelligence are capable of making purchasing or sales decisions on behalf of a user or an organization. Unlike traditional recommendation systems that only suggest products, agent-based systems can analyze data, negotiate terms, select suppliers, and execute orders in a semi-autonomous or fully autonomous manner.

In the context of B2B sales, this concept is beginning to attract increasing attention. Purchasing processes in companies are repetitive, data-driven, and often governed by clearly defined rules. This makes them suitable for partial automation through AI-based systems.

E-commerce platforms such as Shopware are developing technological environments that enable integration with AI tools, analytical systems, and solutions that automate sales processes. As a result, the question arises whether agentic commerce will become one of the main directions of B2B e-commerce development.

What agentic commerce actually is

Agentic commerce is based on the use of so-called AI agents, which are autonomous systems capable of achieving defined business goals. Unlike traditional algorithms that respond to specific user commands, an AI agent can analyze a situation, make decisions, and perform actions based on predefined objectives.

In practice, this means that an agent can monitor inventory levels in a company, analyze purchasing history, and on that basis independently initiate an order process. It can also compare offers from different suppliers, negotiate commercial terms, or optimize delivery schedules.

In the B2B model, such an approach can significantly accelerate purchasing processes and reduce the operational burden on procurement teams.

At the same time, agentic commerce does not mean the complete replacement of people in the sales process. In many scenarios, the agent acts as a decision-support tool rather than the sole decision-maker.

Why B2B is a natural environment for agentic commerce

Purchasing processes in wholesale sales have several characteristics that make them suitable for support by autonomous systems.

First, orders in B2B are often repetitive. Companies regularly order the same products, in similar quantities and according to defined schedules. Second, purchasing decisions are typically based on data such as inventory levels, prices, delivery times, and commercial terms.

In such an environment, AI-based systems can analyze operational data and suggest the optimal moment to place an order.

In more advanced scenarios, an agent may even place orders independently if specific business conditions are met.

Such an approach can significantly shorten procurement cycles and reduce errors resulting from manual order handling.

What autonomous purchasing processes may look like

Let us imagine a manufacturing company that regularly orders specific components from several suppliers. The ERP system monitors inventory levels and production forecasts. An AI agent analyzes this data and predicts the moment when inventory replenishment will be required.

When a defined threshold is reached, the system can begin the supplier selection process. Prices, product availability, and delivery times are analyzed. The agent may then place an order via an e-commerce platform or an integration system.

In such a scenario, the sales platform becomes part of the communication environment between purchasing and sales systems.

Platforms designed in an API-first model, such as Shopware, are particularly well suited for such scenarios because they enable integration with external systems automating business processes.

The role of data and system integrations

Agentic commerce cannot function without access to large volumes of data. Information about prices, product availability, order history, and inventory levels must be available close to real time.

This is why integrations between the e-commerce platform and ERP, PIM, and WMS systems play a crucial role. Without consistent data flow, autonomous systems cannot make accurate decisions.

Modern e-commerce platforms are increasingly designed with this architecture in mind. The API-first model enables easier integration with analytical systems and artificial intelligence tools.

For this reason, solutions such as Shopware are often used in projects building modern commerce ecosystems.

Challenges associated with autonomous sales systems

Despite its great potential, agentic commerce is still at an early stage of development. One of the main challenges is trust in autonomous systems.

In many organizations, purchasing decisions have a significant financial impact. Therefore, full automation requires extremely high data quality and clearly defined business rules.

Another challenge is technological integration. Autonomous systems require access to multiple data sources, which means integration with ERP systems, CRM systems, e-commerce platforms, and analytical tools.

Another aspect concerns legal issues and responsibility for decisions made by AI systems. In the case of autonomous orders, the question arises as to who is responsible for potential system errors.

Will agentic commerce replace traditional e-commerce?

In the coming years, agentic commerce will probably not replace traditional sales platforms. A more realistic scenario is the gradual integration of autonomous systems with existing e-commerce platforms.

In such a model, the sales platform remains the place where users interact with the company’s offer, but at the same time it becomes part of a communication environment between business systems.

An AI agent may analyze data and initiate a purchasing process, while the e-commerce platform enables its execution in accordance with the company’s sales policies.

Agentic commerce as the next stage of e-commerce development

The development of artificial intelligence makes it possible to automate more and more business processes. In B2B e-commerce, the potential is particularly visible in the areas of procurement automation and supplier relationship management.

Agentic commerce may become one of the next stages in the evolution of digital commerce, in which sales platforms cooperate with autonomous decision-making systems.

At CREHLER, we observe that more and more organizations are becoming interested in the use of artificial intelligence in sales processes. Platforms such as Shopware make it possible to build technological environments in which integrations with AI tools become a natural part of e-commerce architecture.

Although agentic commerce is still at an early stage of development, many indications suggest that in the coming years autonomous systems will increasingly support purchasing and sales processes in the B2B model.