Repeated data checks
Orders, customers, and store records sit in different systems. Teams spend hours reconciling them and still worry about missing something.
Learn moreMulti-site and cross-channel operations
metabiz helps multi-site and cross-channel businesses connect existing systems, using AI and automation to reduce rework, delays, and missed service handoffs—so teams can focus on customers and business decisions.

Multi-site and cross-channel operations
Identify delays and errors, confirm data and system conditions, and assess suitable products, integration, or automation. Start with a defined workflow and review actual usage before deciding whether to expand.
Start with recurring checks, delays, and handoffs, then assess what is worth improving within your existing systems and data conditions.
Orders, customers, and store records sit in different systems. Teams spend hours reconciling them and still worry about missing something.
Learn moreHead office waits for reports and follows up on discrepancies before knowing which locations need support.
Learn moreBookings, customer needs, and follow-ups are recorded separately. The next staff member has to ask again.
Learn moreExplore common operating scenarios where less rework, waiting, and error can make a difference. These are illustrative applications, not verified customer results.
Retail and commerce
Campaign teams spend time matching orders, store records, and member data across tools—and still worry about missing something.
Connect product, order, and member data so marketing and store teams can use the same customer information and track orders that need attention.
Services and beauty
Customers have to repeat their preferences to each staff member, while bookings, service notes, and follow-ups can get missed.
Connect bookings, customer preferences, service notes, and reminders so the next staff member can pick up where the last visit left off.
Knowledge and process
Instructions are scattered across chats, documents, and experienced colleagues. New team members often do not know where to find answers.
Organize common questions, procedures, and reference documents in a searchable resource, with sources that the team can check.
Standard products can be adopted independently. For integration or unclear scope, we assess whether paid diagnosis is needed. The initial needs discussion is free.
01
For a clear need, explore whether an existing product fits and confirm features, configuration, and usage scope.
02
When systems do not work together, assess interfaces, data readiness, and the process that needs improving.
03
When the problem or scope needs clarification, start with a discussion. Agree scope and fees before deeper work begins.
Agree deliverables, acceptance criteria, and maintenance responsibilities before work begins. Validation periods, goals, and scope are agreed per engagement; customization, training, and ongoing maintenance are not automatically included.
Agree needs and scope → Validate in phases → Expand with evidence
How we delivermOrbit combines existing systems, knowledge, AI models, and governance around the work that needs improvement—including private infrastructure when the context requires it.
The work surface for people and AI
Private knowledge, sources, and evidence
Model, token, access, cost, and audit governance
Skills, connectors, approvals, and actions
Existing POS / CRM / ERP / data → mOrbit coordination and governance → less manual data movement and rework; authorized people approve high-impact actions
We believe
AI matters not only when it is faster, but when it reduces friction in life and work and gives people more room for judgment, service, and creation.
Tell us how the work gets done, which systems you use, and the rework or waiting you want to reduce. The initial needs discussion is free.