Our solutions are all based on traceability, designed to improve efficiency and productivity. This can be done at a very granular level, whether it be for your crops, your animals, your packaging materials or your intermediate or finished products. From the field to the table, your products are followed closely and accurately.

Thanks to our traceability systems which answer the “who, what, when and where”, we can locate your products in real time and provide you with their evolving characteristics. The data collected through manual or automated processes then allows your employees to make optimal decisions that impact business performance.

Granularity traceability (to the unit) makes it very easy, even in a multi-product pallet picking process, to identify the location of the unit and obtain detailed information (time of shipment, customer name, carrier name, etc.). We are able to define the level of traceability per product that you require. This granularity traceability is also available for work order production to facilitate the recall of a pallet within a batch as well as for products received from your suppliers. These targeted, efficient and rapid recalls minimize the monetary and brand image impacts for your company.

Knowing all the rules is a major challenge for the workers on the floor. As such, we support operator activities with our WMS or LCS systems. Real-time information allows us to facilitate: management of held products; management of a bad product shipped; selection of the right product according to the principle of stock rotation; validation of quantities on the order; location of the right product in the right place in the warehouse; and product search on the floor.

Real-time data is not just useful for performance charts (KPIs); it is an important foundation for quick decision making, either automated or by a human, that manufacturing requires. By capturing or using real-time data, robotization and automation enable informed, automated decision-making.

Humans are human. To minimize data entry and subsequent potential for error, we recommend automatic data collection using sensors, automatons, robots, information systems, or manual data collection using business rules and decision support. These processes are especially relevant in the case of staff turnover, when employee training becomes a challenge.