Improve AI discovery
Identify visibility and catalogue gaps that affect discovery in AI-driven buying channels.
Modernize commerce around your business outcomes. Combine modular commerce capabilities, AI-assisted engagement and governed operational automation in a custom-configured XCaaS engagement.
Identify visibility and catalogue gaps that affect discovery in AI-driven buying channels.
Add shopping assistants and concierge workflows, and streamline B2B commerce interactions.
Coordinate routine work with governed automation and use commerce insights to track and improve KPIs.
Connect web, mobile, social, voice, store-assisted and conversational customer journeys.
Coordinate capabilities, APIs, agents and workflows with business rules and approval controls.
Compose catalogue, search, content, cart, checkout, payment and order-management capabilities.
Select models and deployment approaches for the use case, data-control requirements and governance policies.
Connect enterprise records through a unified commerce data lake and semantic mesh for shared knowledge and context.
These plans are starting points for an outcome-based engagement. Final features, capacity, integrations, implementation and service commitments are agreed for your business. Contact us for a tailored proposal.
Compose a commerce foundation around your operating model. Connect suitable MACH ecosystem platforms and existing enterprise systems, then modernize in phases.
For online startups and growing SMBs launching B2C or DTC.
For mid-market brands scaling across B2C, DTC, B2B and marketplaces.
For global enterprises modernizing legacy commerce platforms.
For specialized commerce models, regulated industries and complex global builds.
Your proposal is shaped by business outcomes, channels, brand sites, markets, languages, catalogue size, payment and shipping integrations, average order value, online GMV and growth. Capabilities, implementation and ongoing services are agreed for your roadmap.
Support customers and teams with AI shopping assistance, discovery insights and catalogue intelligence, grounded in enterprise data with permissions and review controls.
A conversational shopping assistant embedded in your storefront.
AI visibility, commerce insights and catalogue optimization.
An agentic commerce fabric across your operation.
Scope is based on AI visibility, shopping-assistant, concierge and insight outcomes. Channels, markets, catalogue and GMV scale, conversation and task volumes, Frontier or Sovereign LLM usage, integrations, orchestration and Data Fabric requirements inform the proposal.
Coordinate routine commerce workflows through connected AI agents and defined business rules, with approval policies, exception handling and human oversight appropriate to each task.
Begin with a focused set of agents for high-volume manual tasks.
Coordinate agents across backend commerce operations.
Configure agents across commerce and supply-chain operations.
Your proposal reflects workflow and transaction volumes, integration and approval complexity, enterprise scale and growth, LLM usage, orchestration and Data Fabric costs. Automation scope, oversight, measurable outcomes and ongoing operations are agreed with your team.
Start with your business model, existing systems and the outcomes you want to improve. We’ll help scope the capabilities and delivery approach.
Universal Commerce brings together composable capabilities, agentic customer engagement and autonomous operational workflows through a custom-configured, outcome-based commerce engagement.
Plans are starting points rather than fixed-price packages. Business outcomes, channels, markets, catalogue scale, integrations, workload volumes, AI usage, Data Fabric and delivery requirements inform a tailored proposal. Final capabilities, capacity and service commitments are agreed with the customer.
Composable Commerce assembles business capabilities and connects enterprise systems. Agentic Commerce uses grounded AI to assist customers and teams. Autonomous Commerce coordinates authorized operational workflows under business rules, approvals and exception-handling policies.
Yes. The solution can connect suitable MACH ecosystem platforms and existing enterprise applications, supporting phased modernization according to the agreed architecture and scope.
Use a Request a Demo or Discuss Your Requirements button on this page, or email sales@cnetric.com. Share your business model, current platforms and desired outcomes.