Intelligence & AI
AI and analytics built into the platform.
AI assistants, intelligence engines, and operational analytics are part of the platform architecture. They use the shared data model and workflows—no separate AI system. Intelligence is generated from your data; signals drive decisions and actions.
How intelligence fits into the operational system
AI and intelligence run on the same platform data and feed the same workflows and command centers. They are part of the operational system, not a separate product.
How intelligence is generated
Operational data—orders, shipments, projects, incidents, surveys—feeds rules, models, and AI. The result: signals, summaries, and recommendations in context where you work.
From data to signals
Data (e.g. delayed shipment, open incident, survey score) is evaluated by rules and intelligence engines. When thresholds or patterns are met, the platform creates a signal: alert, risk flag, or recommendation. This cycle runs inside the platform; signals appear in command centers and in modules.
From signals to decisions and actions
Signals appear in dashboards and command centers with context: why it was flagged, related data, and available actions. Decisions and actions are recorded on the platform. The loop closes—next signals take your actions into account.
Part of the operational system
AI assistants and copilots use the same data and permissions as the rest of the platform. No separate AI system to sync or secure. Intelligence is a layer on the same source of truth, with the same audit and access control.
Operational intelligence cycle
The platform continuously analyses operational data to produce signals, support decision-making, and feed actions back into the system.
- 1Data
Records created in the operational system (orders, shipments, incidents, projects, etc.).
- 2Signal
Alerts or recommendations produced by rules or intelligence engines.
- 3Insight
Signals interpreted in context.
- 4Decision
The action decision taken by a manager or team.
- 5Action
The transaction performed in the platform and the resulting feedback.
The cycle continues as actions generate new operational data, so the system can continuously improve visibility and decision support.
Intelligence & AI
AI assistants
A central AI assistant answers in natural language using platform data. Ask about inventory, sales, shifts, or projects; get answers in context without leaving the system.
Domain-specific copilots
Domain helpers for key areas: Customer Copilot (CRM and sales), Territory Intelligence (field coverage), Logistics Intelligence (shipment and delivery), Partner Intelligence (dealer performance), and content assistance (social and brand).
Intelligence engines
Deterministic and rule-based engines run alongside AI: risk signals, recommendations, predictive alerts, scoring. Explainable and auditable for operations and compliance.
Executive dashboards
Executive Dashboard and domain panels aggregate KPIs and signals. Performance, risk, and activity across projects, shipment, safety, and finance in one place.
Cross-domain analytics
Reporting and analytics span modules. Combine customer, project, operational, and financial data for portfolio views, trends, and strategic decisions.
Predictive insights
Early-warning signals and recommendation engines help prioritise actions. The platform turns operational data—delays, risk exposure, open items—into ranked alerts and recommendations for control.
Related modules
AI Assistant, Social & Brand Intelligence, Executive Dashboard, Global Search, Command Centers, AI Trust.