Explore. Build. Demonstrate.
Prototypes, demonstrators, research and concepts around new Supply Chain decision systems.
KiiWii
Make demand respond to supply.
KiiWii is a Dataleo Labs demonstrator exploring bidirectional Supply-Demand control - a decision system where demand plans continuously adjust to real supply capacity rather than the other way around. It combines constraint-aware optimisation with human-in-the-loop review to reshape how allocation, promotion and forecasting decisions interact across S&OP cycles.
Forecast Challenge
Can AI beat your forecast?
Forecast Challenge is a Dataleo Labs experiment that pits AI and ML models against traditional planning forecasts on real-world Supply Chain datasets. It surfaces where machine learning genuinely improves decision quality - and where the human planner still wins. A structured, benchmarked answer to the 'AI forecast' hype cycle.
Decision Governance
Govern the decision, not only the tool.
A Dataleo Labs research initiative on how to govern the full Supply Chain decision system - decision rights, data lineage, model assumptions, human intervention points, auditability. Explores frameworks Dataleo applies across APS, Decision Apps and AI-built tools.
Bidirectional Supply-Demand Control
One control loop across demand and supply.
A Dataleo Labs concept for unifying demand shaping, supply planning and capacity allocation inside a single closed-loop control system. Aims to replace the sequential 'demand → supply' waterfall with a continuous, constraint-aware decision layer sitting between APS/ERP and the business.