Cockpit Industry & Manufacturing — Food, Chemicals, Capital Goods
Anticipates supplier failures before they reach production — across every industry (food & beverage, chemicals, capital goods, automotive).
In most industrial companies — food & beverage, chemicals, capital goods, automotive — supply chain data is fragmented across SAP MM, Blue Yonder, Manhattan, site MES and out-of-system Excel files. When the IS is evolving, supplier, item and order repositories temporarily become inconsistent. AURA reconciles these sources on a common ontology, even during transition periods.
KAIROS detects stockout risks before they reach production. It continuously qualifies suppliers, optimises logistics flows and argues every alternative sourcing recommendation — with your system data, not assumptions. Applies to food chains (shelf-life, batches, traceability), chemical chains (REACH, batch genealogy, safety) and discrete manufacturing (BOM, MRP).
What KAIROS does for you.
KAIROS is the operational copilot of industrial, food and chemical supply chains. It reasons continuously on your operational applications — e.g. a supply ERP (SAP, Oracle SCM), an advanced planning suite (Blue Yonder, Kinaxis, o9), a site MES (Wonderware, Siemens Opcenter) or a WMS / TMS (Manhattan, Infor) — to detect weak signals well before consolidated reports. Where an analyst spends three weeks building a disruption scenario, KAIROS produces an argued recommendation in minutes, traced to source attributes.
AURA reads from your IS: only the data relevant and impactful for Business decision-making enters the ontology.
The knowledge agents shipped with this cockpit
— ready to use, customised for you.
Preset Industry & Manufacturing — Food, Chemicals, Capital Goods.
Universal principles.
The examples above use the Industry & Manufacturing — Food, Chemicals, Capital Goods preset. The principles below hold for any organisation steering a real operation — regardless of sector.
Business understanding precedes the model. AURA adapts its ontology to your organisation's reality before contextualising its agents — never the reverse.
AURA plugs into your systems and reads only the data relevant to the decision. Legacy stays in place, without disruption.
Every recommendation is anchored on the data that produced it. Reproducible to the board, auditable to the regulator — by design.
AURA reasons at the intersection of constraints — finance, operations, compliance, customer. No silo optimisation: a decision that holds across the full scope.