INSYLO clearly goes beyond the state of the art. Currently, the vast majority of existing silos (>95%) don’t have any coupled technology to measure their filling level, so every week farmers must physically climb to the silo’s tops to estimate their load or acoustically guess it hitting them with a mace. The alternative to this manual and inefficient method are either expensive load cells or inaccurate single point level sensors (ultrasound, radar, laser…) that have measurement errors of up to 20 %.
INSYLO is the first cost-effective solution able to measure accurately silos’ feed level thanks to its proprietary 3D volumetric camera. Moreover, by leveraging the power of big data and artificial intelligence, our solution is capable for the very first time of forecasting feed demand (i.e. refill orders) and organize feed trucks delivery routes to optimize them.
We have achieved a market-ready solution that has proven able to disrupt the current feed supply chain. The optimization of the feed-stock inventories, production batches, delivery routes and raw materials purchases translates into savings of up to 500 € per silo and year for the farmers and feed suppliers.
Moreover, from an environmental point of view, the optimisation of the feed delivery routes has demonstrated a real reduction of about 15% of the distances run by the trucks which has a direct impact on the reduction of CO2 emissions.
From a social point of view, farmers will benefit from a solution that will help them in their daily routines. On the one hand, they will avoid climbing to the top of the silo to check the feed level, which reduces occupational hazards. On the other hand, they can be confident that they will never run out of feed, which brings peace of mind.
