Ruby Neural
Take control of your goods at all times
Storage and Goods
Using cutting-edge computer vision technology and predictive algorithms, Ruby Neural automates key tasks such as product identification, inventory management, picking, and stacking of goods.
- This solution enables real-time monitoring to proactively detect inconsistencies and incidents.
- It also verifies and controls every step of manual processes to minimise human errors.
- Ruby Neural seamlessly integrates with existing warehouse management systems to provide a unified solution.
- Its unique visual tracking and artificial intelligence capabilities result in significant increases in productivity, accuracy, and efficiency in goods handling and warehousing operations.
Monitor your goods and warehousing processes to make your logistics operations more agile, reliable, and profitable.
Ruby Neural
Take control of your goods at all times
Storage and Goods
Using cutting-edge computer vision technology and predictive algorithms, Ruby Neural automates key tasks such as product identification, inventory management, picking, and stacking of goods.
- This solution enables real-time monitoring to proactively detect inconsistencies and incidents.
- It also verifies and controls every step of manual processes to minimise human errors.
- Ruby Neural seamlessly integrates with existing warehouse management systems to provide a unified solution.
- Its unique visual tracking and artificial intelligence capabilities result in significant increases in productivity, accuracy, and efficiency in goods handling and warehousing operations.
Monitor your goods and warehousing processes to make your logistics operations more agile, reliable, and profitable.
We offer you total control
to achieve excellence
Identification of Complex Goods
Tracking goods, especially those without clear identification like bundles, loose items, or bulk materials, can pose a significant challenge. The absence of precise identification can lead to errors, product losses, and inventory management difficulties, impacting the efficiency of the entire supply chain.
Ruby Neural addresses this specific issue by utilising advanced technology to create a unique identifier based on package characteristics. Implementing this solution not only simplifies tracking of these products but also enhances efficiency, accuracy, and transparency throughout the supply chain.
Ruby Neural revolutionises how companies can manage and trace their products.
Stacked Goods
Properly stacking goods, whether in warehouses or cold storage facilities, is an essential part of modern logistics operations. From the arrangement and height of stacks to the types of products that can be stacked together, every aspect requires meticulous attention. Any error can result in product damage, safety risks, and inefficient space utilisation.
With Ruby Neural, you can inspect and control the stacking of goods in warehouses or cold storage facilities in real-time with an unprecedented level of precision and efficiency. This is a vital solution for any company looking to enhance safety, compliance, and efficiency in their storage operations.
Ruby Neural utilises image processing technologies and artificial intelligence algorithms to inspect and analyse the conditions of stacked goods in real-time. This includes verifying the condition of packages, proper arrangement, and any signs of damage or wear.
Ruby Neural continually monitors stacking heights, ensuring they do not exceed the limits set by the warehouse or what the goods can support, thereby protecting both the products and the structural integrity of the facilities.
Ruby Neural automatically verifies that only authorised materials are stacked together, preventing the mixing of products that could be hazardous or incompatible. This enhances safety and compliance with industry regulations and standards.
By constantly monitoring and analysing storage conditions, the solution can identify opportunities for more efficient arrangement, thereby maximising the use of available space.
Ruby Neural can integrate with existing warehouse management systems, providing a unified solution that enhances the efficiency, accuracy, and visibility of storage operations.
By automating the inspection and control of stacked goods, Ruby Neural significantly reduces the possibility of human errors. This improves not only accuracy but also the speed of storage operations.
Visual Inventory Management
Keeping precise track of the location, quantity, and condition of stored goods is not just a matter of efficiency but also profitability. Thanks to Ruby Neural, you can transform the way you manage your storage resources and handle your inventories. From precise measurement to space optimisation and seamless integration with existing systems, this solution brings transparency, accuracy, and efficiency to an entirely new level.
In a world where agility and accuracy in inventory management are key to success, Ruby Neural provides the tools and technologies to stay at the forefront.
Ruby Neural uses advanced visual tracking technologies to provide an accurate, real-time representation of the location and quantity of products in the warehouse. This enables businesses to respond quickly to market demands and enhance distribution efficiency.
Ruby Neural allows for detailed checking of product conditions, segmented by material type, and provides information on the quantity in which they are filled. This aids in precise planning and decision-making regarding orders and redistribution.
Bulk products pose unique challenges in inventory management. Ruby Neural measures the volume of stacked products to ensure proper quantity tracking and assist in distribution planning and control.
Ruby Neural segments areas with large product volumes by material type and precisely measures their occupancy percentage, ensuring resources are used most efficiently and handling processes comply with all relevant regulations.
Ruby Neural’s solution seamlessly integrates with existing inventory management systems, offering a unified solution that improves visibility and control throughout the supply chain.
By automating many of the traditionally manual processes associated with inventory management, Ruby Neural reduces the possibility of human errors, resulting in increased accuracy and efficiency.
Bulk Material Storage
Bulk material storage presents unique challenges that require specialised solutions for efficient management. From constant monitoring of stock levels to detailed control of loading and unloading processes, handling these materials demands meticulous accuracy and control.
The implementation of Ruby Neural in bulk material warehouse management represents a significant advancement in how these operations are conducted. Its focus on accuracy, efficiency, and control translates into more effective and cost-efficient bulk material management, enabling businesses to focus on growth and confidently meet their customer’s needs.
Stock Levels
Real-time monitoring of stored material levels in pits, yards, docks, and areas with or without separators. You’ll always have up-to-date and accurate information for inventory management, facilitating effective stock planning.
Identify any stock anomalies in real-time, such as the mixing of different products that could compromise their quality. Take immediate corrective actions, preserve inventory integrity, and maintain quality standards.
Closely monitor loading and unloading processes to prevent situations like overflows or blockages. By addressing these issues before they occur, you ensure that storage operations run smoothly and efficiently, saving time and resources.
Ruby Neural easily integrates with existing inventory management systems, providing better stock control. Additionally, you can customise the solution to adapt to the specific needs of each operation, ensuring effective implementation.
Ruby Neural can significantly reduce costs associated with errors and overflows in bulk material storage. Improved operational efficiency also leads to more effective resource utilisation, maximising profitability.
Bulk Material Storage
Bulk material storage presents unique challenges that require specialised solutions for efficient management. From constant monitoring of stock levels to detailed control of loading and unloading processes, handling these materials demands meticulous accuracy and control.
The implementation of Ruby Neural in bulk material warehouse management represents a significant advancement in how these operations are conducted. Its focus on accuracy, efficiency, and control translates into more effective and cost-efficient bulk material management, enabling businesses to focus on growth and confidently meet their customer’s needs.
Real-time monitoring of stored material levels in pits, yards, docks, and areas with or without separators. You’ll always have up-to-date and accurate information for inventory management, facilitating effective stock planning.
Identify any stock anomalies in real-time, such as the mixing of different products that could compromise their quality. Take immediate corrective actions, preserve inventory integrity, and maintain quality standards.
Ruby Neural easily integrates with existing inventory management systems, providing better stock control. Additionally, you can customise the solution to adapt to the specific needs of each operation, ensuring effective implementation.
Closely monitor loading and unloading processes to prevent situations like overflows or blockages. By addressing these issues before they occur, you ensure that storage operations run smoothly and efficiently, saving time and resources.
Ruby Neural can significantly reduce costs associated with errors and overflows in bulk material storage. Improved operational efficiency also leads to more effective resource utilisation, maximising profitability.
Manual Picking
The precise selection of products and their correct allocation to pallet locations is vital to ensure efficiency in storage and timely delivery to customers. With its cutting-edge technology and a focus on precision and efficiency, Ruby Neural is an essential solution for any company looking to improve its manual picking process.
In an increasingly competitive market where accuracy and speed are key, Ruby Neural provides the necessary tools to stay ahead and exceed customer expectations.
Real-time Identification and Verification
Using an advanced image processing system, Ruby Neural instantly identifies the selected merchandise during the picking process. It verifies if the product is being sent to the correct pallet point and, if it detects any inconsistency, immediately alerts the operator. This real-time verification ensures unparalleled accuracy in the picking process, minimising errors that can lead to confusion and subsequent delays.
Errors in manual picking can have a significant impact on overall logistics efficiency and customer satisfaction. The incorporation of Ruby Neural drastically reduces the possibility of these errors, providing precise, real-time guidance to operators. This not only improves process efficiency but also increases customer confidence and satisfaction by ensuring accurate and timely deliveries.
Ruby Neural seamlessly integrates with existing inventory and logistics management systems, offering a cohesive solution that enhances accuracy throughout the supply chain. This allows for a smooth transition to a more automated and efficient picking process without the need for drastic changes to the existing infrastructure.
Each logistics operation has its unique needs and challenges. Ruby Neural offers an adaptable solution that can be customised to the specific requirements of each client. This ensures effective implementation and a solution that aligns perfectly with individual business objectives and processes.
The accuracy and efficiency that Ruby Neural brings to the manual picking process result in significant savings in both time and operating costs. By reducing errors and improving process speed, valuable time is saved that can be used in other critical areas of the operation, leading to an overall productivity boost.
