Robotic equipment for logistics, today's logistics processes require speed of execution and accuracy close to 100%. The increasing importance of e-commerce in the usual logistics flows makes the importance of automating logistics processes increase. IDTotal supports you in the implementation of automated systems for moving, sorting, transporting and picking products from any field.
Robotic equipment for logistics
Using the following technologies:
- Autonomous movement and mapping
- Lidar for 3D reconstruction
- Visual image recognition
- Machine learning
- Visual mapping of packaging
- Proprietary algorithms for item counting
we are offering the possibility to implement semi-automatic stock
,with a cost benefit of at least 50%.
Data and facts that recommend us as our customers' preferred partner
Our team offers you the most suitable logistic solutions adapted to your requirements
250
clients
60000000
objects scanned annually
700
implemented projects
2000
smart equipment
3000
available staff
20
years of experience
Increasing productivity beyond human capacity
The increase in human productivity has been achieved in many industries through training, digitization, the efficiency of product placement, but no matter how much is invested in this direction, there is a limitation given by human nature that cannot be overcome. Capacity building is also problematic, because it involves a long cycle of recruitment, training, streamlining, and human resources are increasingly expensive and hard to find. This is where industrial robots come in, which have the ability to increase the productivity of logistics processes for goods by rates between 200-300%, without significant changes to the current logistics spaces.
Implementation of robotic logistics systems (autonomous robots)
IDTOTAL supports you in the implementation of fully automated systems for picking, transporting, sorting and placing products in the logistics field of consumer products, cosmetics, textiles, electronics, specialized, etc. By implementing this system based on autonomous robots (AGV = Automated Guided Vehicles), companies active in the fields of B2B, B2C, e-commerce, logistics, production, logistics services (Third Party Logistics – 3PL) can increase their productivity by up to to 300% and the accuracy can reach over 99.7% (depending on the type of products, industry, processes).
The implementation of automated logistics systems can be carried out in any organization that works with stocks, both in the field of logistics - B2B, B2C, 3PL, as well as in the field of production but also in other sectors of activity (hospitals, government organizations, etc.).
Automated systems based on autonomous robots can be implemented in any warehouse, production or logistics space. In general, these are spaces that do not require access to the public, but only to company personnel, but there are also implementations where autonomous robots can transport products in spaces with public access (such as hospitals).
The installation of automated systems of autonomous robots does not involve the modification of the existing space, but only adaptations to allow their movement and their integration into the IT infrastructure of the company. From the point of view of the electrical installation, no power changes are required, the system being able to operate under normal conditions of access to the electrical network.
The automated system based on autonomous robots has its own command and control system, which must be integrated with the customer's IT systems, to take orders for picking, sorting, transport, etc. The system can be integrated with any existing WMS system or can be directly integrated with the ERP you operate.
The number of autonomous logistics robots required for a deployment is calculated based on several factors such as: number of orders per day, number of lines processed per day, number of total SKUs, number of active SKUs per day, and so on Warehouse floor space can be a limiting factor, but you cannot calculate a robot requirement based on floor space alone. Generally, an implementation starts with 3 bots and can go up to 20-30 or more depending on the indicators of the automated processes.
Implementation of a system based on autonomous robots can take between 3 and 6 months, including the pilot project stage and integration into your own IT systems. After carrying out the pilot project and integrating the fixes/changes found to be necessary, scaling the system by adding additional bots can be done very quickly in 1-2 weeks, so you can quickly adapt to peak periods (Black Friday, Christmas, campaigns, etc.).
The cost of such a system includes, in addition to autonomous robots and ancillary equipment (charging stations, network equipment, picking stations, debugging equipment, etc.), but also specific servers, adapted picking stations, licenses and software services. We can calculate a complete offer based on a questionnaire that we will complete in the analysis stage.
From the point of view of investment recovery (ROI or Return on Investment), according to the experiences of users of such systems, investment recovery can be achieved in 3-12 months, depending on the type of products served, the type of orders made, the profit margins , etc.
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