Agentic commerce – Let AI agents sell for you.
Customers will increasingly use personal AI assistants to search, compare, and buy on their behalf. On the other side, your e-commerce platform needs its own sales AI agent — optimising offers, pricing, availability, and communication in real time. BigHub builds both sides.
The way people buy is changing — fast
Consumers are already using AI assistants to discover, compare, and purchase products. The question isn't whether this shift will happen — it's whether your business is ready for it.
What is Agentic Commerce?
An environment where the buying process takes place between AI agents. On one side, customers use personal AI assistants to search, compare, and purchase. On the other, e-commerce platforms deploy their own sales AI agents to optimise offers, pricing, availability, and communication in real time.
The buyer's side
The seller's side (what BigHub builds)
See it in action
A live preview of how your products appear to AI shopping agents — and how the buying flow works from the customer's perspective.
01
Understand intent
AI interprets natural language into structured shopping context.
02
Search and match products
Queries the catalog, compares options, selects the best fit
03
Assemble the cart
Adds items, handles quantities, presents summary for approval
04
Configure delivery and payment
Sets address, picks available delivery slot, applies payment method
05
Execute the order
Confirms transaction, triggers fulfillment, closes the session
What agentic commerce changes for your business
AI agents are becoming a new purchase channel. Here's what that means in practice.
Be discoverable by AI agents
Personalised offers at scale
Zero-friction transactions
Governance & control
Works with your existing stack
Agent analytics & insights
Standards are the rails. BigHub builds what runs on them.
UCP, ACP, and MCP define how AI agents talk to merchants and payment providers. They're necessary infrastructure — but they don't make an agent smart. That's where BigHub comes in.
Universal Commerce Protocol
Agentic Commerce Protocol
Model Context Protocol
BigHub's position
The business impact
New revenue channel
Lower acquisition cost
Higher conversion
Built for retail. Scalable to any industry.
Agentic commerce started in retail and e-commerce, but the same patterns apply wherever an AI agent can discover, compare, and transact on behalf of a user.
Be searchable is the minimum. Your sales agent layer is what really matters.
Protocols give agents a common language. BigHub builds your merchant's AI sales agent — the intelligent counterpart that represents your brand, knows your products, and optimises every interaction with buyer agents in real time.
Dynamic offers & pricing
Personalised search & shortlists
Agent negotiation logic
Governance & approval rules
Multi-channel agent presence
Integration with your systems
Real strategies. Real results.
See how organisations turn AI strategy into measurable outcomes. Real projects, real impact, delivered in real enterprise environments.
Košík.cz as the first CEE grocery retailer on the ChatGPT Marketplace
Datart launched an AI assistant that boosts conversions and customer satisfaction
How AI search helped AAA Auto boost engagement by 5% and simplify mobile navigation
How the AI assistant DIEGO accelerated operations at 100+ PLANEO stores
Commerce is becoming a conversation between AI agents
On one side, every customer will have a personal AI assistant that shops for them — searching, comparing, negotiating, buying. On the other, every merchant will need an AI sales agent that responds — representing the brand, optimising offers, and closing transactions in real time. The businesses that deploy their sales agent first will capture the demand. Those that don't will become invisible to the AI-first consumer
BigHub's Agentic Commerce is how you build and deploy your side of this conversation — regardless of which AI platform your customer uses.
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Why BigHub
We help enterprises turn AI from experimentation into measurable business results. Our approach combines deep technical expertise with a clear focus on impact, scalability, and long-term value.
Business ROI first
Every project starts with a clear business case. We identify high-return opportunities and design AI solutions that bring measurable impact — not experiments, but outcomes.
Long term partner
We don’t deliver and disappear. BigHub works as your strategic partner, ensuring that AI initiatives stay aligned with your business goals and continue to deliver value over time.
High expertise
Our team combines data engineering, machine learning, and business strategy experience across industries — enabling us to solve complex enterprise challenges end to end.
Security
We design and deploy AI within the strictest security and compliance frameworks. Your data stays protected, your governance transparent, your operations compliant.
Implementation
Our approach ensures a smooth and measurable path from idea to production. Each phase is structured to validate impact, minimize risks, and accelerate value delivery.
We start by identifying a clear business case and defining success metrics. Together, we validate technical feasibility and measurable ROI through a small-scale prototype tailored to your data and systems.
Once the concept is proven, we expand the solution into a controlled production environment. The focus is on performance, user adoption, and integration with existing workflows — ensuring it delivers real business outcomes.
After successful validation, we deploy the full production-ready version. Our team ensures scalability, monitoring, and continuous optimization so your AI solution keeps driving measurable results over time.
Your customers are already asking AI where to buy. Are you in the answer?
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