Innovation is not an inherent part of technology, it comes from how technology is used: beyond the purely technical aspect, we want innovation to bring immediate advantages to its users.
SAVOYE LABS is our innovation label, bringing together data scientists, robotics experts, engineers and users to design the solutions of tomorrow.
Going from prototype to product
Innovation is a laboratory that creates prototypes. But testing them and industrialising them through real-life customer situations allow their true value to be revealed and go from prototype to product.
Innovating with our customers is an essential aspect to transform a technology or concept into something that can actually be used operationally.
Drawing on strategic partnerships is also essential.
To innovate, our R&D and innovation teams need to know how to immerse themselves in and integrate technologies mastered by third parties. It is equally indispensable to know how to test concepts. For this, our innovation team has developed different strategic partnerships, both industrial and institutional.
Assistance in decision-making
At the heart of our products, SAVOYE integrates solutions that assist with decision-making, which means we can address a significant number of strategic, tactical and operational issues.
Several years ago, SAVOYE established its own Operational Research and Data Science hub, staffed by doctors in Applied Research in Data Science and Optimisation.
Our teams draw on two complementary disciplines, one that is focused on predictive models and the other optimisation models:
Machine Learning and Artificial Intelligence
Machine learning, a key aspect of data science, analyses data and behaviours and draws out correlations between elements. With the arrival of big data and the growth of calculation capacity, machine learning has boomed. It interprets data and makes it more meaningful, and its algorithms learn by iteration based on the analysis of past and present to deduce the future.
Our data scientists develop modules that can be integrated into our WMS and WCS control systems, with many possible fields of application: flow forecasting, labour management, breakdown forecasting, anticipating picking shortages, optimising resupply, etc.
Operational research is an area of applied mathematics that aims to design efficient decision-making algorithms in order to process optimisation problems that are too complex to be managed by conventional methods: optimising the choice of the next packages to prepare, controlling sequencing hardware, planning tools, dynamic routing calculations...
SAVOYE is an active member of ROADEF (French Operations Research & Decision Support Society).
Whether it's complementing a Goods-to-Person solution or an expected development, item picking automation has to fulfil several essential criteria:
- Being able to pick any kind of product reference, whatever their dimensions, weight, rigidity, packaging, colours, etc.
- Gripper skill whether products are stored, in bulk or in a box from the factory
- Optimally positioning products in the package, following a Pick&Place logic
- Operational autonomy when unexpected events occur
- And of course, a high enough speed to warrant the total cost of having the system
SAVOYE works closely with robotics, gripping and vision specialists to design, test and study the feasibility of automated picking projects with its customers