Garvis
Canvas Category Software : Information Technology : Supply Chain
Garvis is on a crusade to make using Artificial Intelligence for forecasting and demand planning easy, accessible, and explainable while keeping the planners in control. We are the first truly bionic demand planning system that drives the paradigm shift towards man-machine collaboration. We combine access to data in the richest sense with a user-trainable, transparent AI that empowers planners to create the best possible plans for the future. Our approach results in less costs, lower implementation time (<24 hours), reduced forecast errors and an evergreen environment.
Assembly Line
Garvis Raises €3.5 Million Euros for a Bionic AI Platform to Optimize Supply Chain Management
A year after the launch of its AI platform for demand and inventory planning, Belgian startup Garvis raised € 3.5 million to develop the platform. Investors include British investment funds Superseed and Scalebridge Capital, and the German group Bosch Ventures. Garvis’ technology enables companies to respond at lightning speed to upheavals and evolutions that influence customer purchase behavior. One unique feature: even non-specialists are able to use the platform within a day.
Businesses need a radical new planning method that uses risk profiles, insight and real-time data. The platform Garvis developed, maps relevant environmental factors and provides transparent, explainable insights and predictions of demand patterns for various industries such as automotive, semiconductor, retail, and food and beverage. It uses open-box AI to respond to global fluctuations in buying behavior. Unexpected changes in demand patterns are recognized early, allowing planners to immediately adjust their forecasts and keep schedules up to date. Garvis works with the University of Antwerp (Belgium) to continuously optimize the predictive algorithms.
Bionic Demand Planning: A more connected company to a changing world.
Garvis, the first bionic demand planning system, puts planners at the heart of a future of demand planning that focuses on: Multi-tenant architecture, User trainable, Whitebox AI that learns along with the planner to identify unseen insights and decrease forecast error by up to 40%, Multi-factor modelling that provides actionable insights at an enterprise level, No external implementation leading to evergreen systems informed by a semantic user-layer. Reducing cost and increasing decision making efficiency.