Why dotSource Is Your Agentic Commerce Agency
Benefit from our nearly two decades of experience in digitising commerce processes, backed by deep market understanding. This makes us the right partner for the targeted implementation of agentic commerce.
Put your trust in our team of experienced artificial intelligence (AI) and e-commerce experts. They develop customised concepts for AI-powered processes in e-commerce – data-driven, future-proof and tailored to your infrastructure.
Strategically leverage relevant innovations such as agentic commerce for your business. We keep pace with technological developments and help you secure a decisive competitive advantage.
Our Agentic Commerce Consulting Services
1. Analysis of Your Infrastructure
Benefit from a clear assessment of your e-commerce infrastructure. We check your platform, data models and interfaces for readiness for the Model Context Protocol (MCP) and Agent2Agent (A2A). This ensures that your systems are optimally set up for automated communication between tools, agents and external resources.
2. Development of a Sound Data Strategy
Receive a targeted data strategy that serves as the basis for all autonomous processes. This lays the foundation for clean master data as well as consistent interfaces and ensures that AI models can use your data effectively.
3. Modernisation of Your System Landscape
Future-proof your system landscape. We advise you on API-first architectures and modular solutions that are essential to smooth A2A communication and efficient MCP use.
4. Identification of Initial Use Cases
Get a clear roadmap for your first steps. We help you find simple use cases for autonomous agents that deliver quick wins and free up your employees.
5. Active Change Management and Training Courses
Build acceptance and trust across your team through targeted training. We provide your employees with the training they need to understand and implement the new ways of working with AI agents.
Agentic Commerce Consulting Session – Your First Step Towards Future-Proof E-Commerce
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Other Agency Services for Your Agentic Commerce Journey
Use Cases for AI Agents in E-Commerce
Automated Product Data Management in B2B
An industrial supplies wholesaler manages more than 250,000 items across multiple catalogue systems. Doing this manually is time-consuming, inconsistent and prone to errors. With the help of an AI agent, the company automatically classifies new products, enriches data, checks for duplicates and synchronises everything with its product information management tool and shop system. The result: 70 per cent fewer manual interventions and twice the data quality.
Spare Parts Procurement in B2B
A mechanical engineering company sets minimum stock levels for critical spare parts in its enterprise resource planning tool. A digital purchasing agent monitors these thresholds autonomously. If the stock of a component falls below the defined limit, the agent searches for available suppliers, compares prices, delivery times and terms – and automatically places an order. This ensures greater supply reliability while reducing the workload for the purchasing department.
Reactive Customer Service Becomes Proactive
A B2C electronics retailer receives thousands of customer enquiries every day, which overloads the service team. An AI agent answers standard questions autonomously, identifies issues that need to be escalated early on and prioritises them for human agents. In addition, it proactively sends notifications about shipping status and returns. This reduces processing times by 60 per cent and significantly boosts customer satisfaction.
Campaign Planning by Targets
A fashion retailer leverages data-driven campaigns for its marketing. Previously, the team needed multiple tools and manual evaluations to define target audiences and measures. With an integrated AI agent, they now only need to specify a target, e.g. »Increase sales of the winter collection«. It analyses customer data, suggests channels and budgets, creates texts and plans campaigns fully automatically.
MCP and A2A as the Keys to Agentic Commerce
For autonomous agents to act effectively in e-commerce environments, they need more than just data. They need context. This is precisely where MCP comes in: It structures information so that AI agents can clearly understand and operate within the framework for action, including intentions, restrictions and priorities.
Moreover, A2A communication ensures that autonomous systems on both sides – suppliers and purchasers – can exchange information directly, securely and automatically. This applies, for example, to product availability, price negotiations, delivery terms and conditions.
As part of our agentic commerce consulting services, we check whether your platforms, interfaces and data structures meet these new requirements – and how MCP and A2A can be integrated both conceptually and technically.
How MCP Is Changing Processes
Your use of AI probably often goes like this: You submit a request, the AI solution provides an answer. You then transfer it to another programme to continue. This results in media discontinuity, loss of context and unnecessary effort. Instead of causing additional steps, your agentic AI assistant – powered by MCP – acts like a member of your team who knows the tasks, uses tools confidently and integrates results directly into processes. This lays the foundation for agentic commerce – automated, integrated and efficient.
Other E-Commerce Services at a Glance
FAQ – Frequently Asked Questions About Agentic Commerce
What is agentic commerce?
Agentic commerce refers to a new era of e-commerce in which AI-powered agents independently make decisions, purchase items and deliver personalised recommendations based on user preferences and contextual data.
Is agentic commerce ready for the market?
Initial pilot projects and tools show great potential. Innovative companies would be well advised to invest in pilot phases and infrastructure now in order to secure an early competitive advantage.
Why does agentic commerce need a protocol like MCP?
For AI agents to act autonomously, they need to know what resources are available and how they are allowed to use them – this is precisely what MCP defines.
Is MCP a software solution or a tool?
Neither. MCP is a technical protocol, i.e. a standardised framework that defines how context and access rights are structured and transferred.