Standards, assets and energy — across every site.
Operations: standards, assets and energy across every site.
One standard across every site — allergens, food safety and compliance enforced, not hoped for.
Freezers, machines and kitchen stations read live, with Iris flagging drift before it fails.
Every site’s running cost on the same board as its sales.
Food-safety and compliance evidence produced on request — the audit as an operating condition.
IrisMeet the agent →Iris is the AI that narrates every screen, flags what needs a human and acts on the rest once approved. It names the cause, costs the move and proposes the action.
Deterministic thresholds that fire on the shift the breach happens — no model lag, no waiting for a report.
Forecasting and ML models that predict early enough to act on, with the cause named and the move costed.
Conversational layer: you ask what moved and why, and Iris answers with the recommended action for a human to approve.
Pick a sector to see the AI solutions in its catalogue that run on Motus — named exactly as they appear in the playbook.
No Fine Dining solution is named for Motus on its own — it runs underneath the board and reads the same data every other product writes.
No Apparel & RTW solution is named for Motus on its own — it runs underneath the board and reads the same data every other product writes.
No Ethnic & Bridal solution is named for Motus on its own — it runs underneath the board and reads the same data every other product writes.
No Sportswear solution is named for Motus on its own — it runs underneath the board and reads the same data every other product writes.
No Footwear solution is named for Motus on its own — it runs underneath the board and reads the same data every other product writes.
No Marketplace & Online solution is named for Motus on its own — it runs underneath the board and reads the same data every other product writes.
Modelled outcomes from the sector playbooks Motus feeds.
Modelled from pilot assumptions and comparable F&B benchmarks — not yet a deployed-client result. Zentallio will publish real numbers as founding pilots conclude.
The executive board: Financial, Customer, Operational and AI-Learning lenses, each with its L1 rule thresholds, L2 model accuracies and an Ask Iris explanation of what moved and what to do.
The till: counter, tables, drive-thru, kitchen, dispatch, delivery and feedback on one order spine, with Iris suggesting the upsell at the moment of sale.
Finance: executive cockpit, financial reporting and approvals in one ledger.
Supply chain: demand forecast, procurement and logistics tied to what actually sold.
Workforce: rostering from forecast; overtime, absence and compliance handled before payroll.
Configured demo in 3–5 working days · no hardware · no long-term contract.