TECH OFFERS

Indoor vertical farming is pivotal for addressing future food challenges, particularly in arable land-scarce countries. One common method is hydroponics, which uses mineral and nutrient solutions in a water-based platform to grow crops. To optimize the crop yield and to reduce the man work hours required, it is important to automate crop health monitoring and replenishing of specific nutrients. Currently, these tasks are labour-intensive and subjective. While some imaging techniques exist for detecting plant stress and chlorophyll monitoring, a complete system covering all aspects is still lacking. For nutrient analysis, tools like pH and electroconductivity meters can only detect a change in the nutrient composition to start a feedback loop but are unable to determine the specific nutrient component or deficiency level. This technology is a comprehensive quantitative monitoring system integrating imaging spectroscopy and laser-based elemental spectroscopy to quickly identify the crop growth stages, alert crop stresses (tested on several lettuce species) and quantify specific nutrient levels in the nutrient supply. This allows for reduced man work hours and improvement of crop yield. Complete crop health monitoring through combined leaf, root, and nutrient supply monitoring, with automated replenishment Real-time in-situ component wise nutrient monitoring capability with high sensitivity (in ppb levels) enabling automated selective nutrient replenishing Non-invasive and non-contact, no sample preparation required Modular sub-systems allowing for easy integration with existing systems Machine learning capability for improved spectral library creation, enabling rapid and efficient monitoring   Applications validated at lab scale: Automated hydroponic crop monitoring in large indoor agricultural farms Inline, real-time nutrient monitoring of nutrient solutions Other applications tested at experimental POC scale and shown to be more rapid and accurate than existing methods: Real-time water quality monitoring Post-harvest quality determination of crops Trace elemental detection in body fluid   Offers full-spectrum monitrong for both crop health and nutrient supply, covering both leaf and root systems Enables automated, real-time nutrient replenishment with precise, component-wise monitoring at ppb sensitivity levels Features modular subsystems and easy integration with existing setups, supported by specific spectral libraries and machine learning for efficient monitoring and classification   Hydroponics, Nutrient Monitoring, Non-destructive Monitoring, Urban Farming, Indoor Farming, Spectroscopy, Imaging Life Sciences, Agriculture & Aquaculture, Foods, Quality & Safety, Environment, Clean Air & Water, Sensor, Network, Monitoring & Quality Control Systems

Access to clean and safe drinking water is essential for health, yet millions of people worldwide still lack this necessity. According to the World Health Organization (WHO), over 2 billion people globally use drinking water sources contaminated with feces, leading to severe health consequences. Unsafe water, along with inadequate sanitation and hygiene, is estimated to cause 485,000 diarrheal deaths each year. Water purification technologies face significant challenges, especially in decentralized systems lacking the efficiencies of large-scale operations. They often have a substantial carbon footprint due to energy-intensive processes and reliance on chemicals. Existing portable devices primarily use filtration and have a limited lifetime on-site, with little opportunity for cleaning to restore its performance.  Developed by a research team, this technology effectively addresses the above challenges by employing electrochemical methods that generates strong oxidizing agents to kill micro-organisms present in raw water and potentially degrade organic pollutants that conventional portable reactors cannot remove via filtration. Due to its working mechanism, the device is self-cleaning and does not need regeneration. By harnessing solar energy and activated carbon, this chemical-free purification approach is not only environmentally friendly but also perfectly suited for deployment in remote areas, developing countries, and disaster-stricken zones where traditional water treatment infrastructure is lacking. The technology owner is looking for collaborations with local SMEs to co-develop scaled systems and deploy it through disaster relief organizations, government agencies and non-profit organizations in selected developing countries.  Power Source: Solar-powered, enabling operation in off-grid and remote areas, resulting in reduction of operational costs and ensures continuous, sustainable water purification Electrochemical Reactor: Anode: Mixed Metal Oxide (MMO) anode which generates strong oxidizing agents to degrade certain recalcitrant pollutants Cathode: Activated Carbon, enhancing contaminant removal through absorption and electrochemical processes Chemical-Free Operation: Eliminating the need for chemicals, making it more sustainable, safer and more cost effective Contaminant Removal: Organic Contaminants: The technology can effectively remove organic pollutants, with 65% of an initial 50 ppm phenol concentration being removed within 60 minutes proven in a prototype system. Coliform Reduction: Electrochemical treatment rapidly reduces coliform levels to meet water reuse guidelines of less than 10 CFU/100 mL in just 3 minutes. Biochemical Oxygen Demand (BOD₅): The system is capable of bringing BOD₅ levels within guideline standards in as little as 15 minutes. Water Treatment: Provides clean water in areas without conventional water treatment infrastructure  Humanitarian Aid: Supports disaster relief and NGOs in emergencies like natural disasters and refugee camps. Rural Development: Serves remote and rural areas, especially in developing countries without centralize facilities. Mobile units: Portable purification for troops in harsh or remote environments, ideal for off-grid communities, emergency preparedness and mobile operations needing reliable water purification. Sustainable Power Source: Solar-powered, reducing reliance on external energy sources and ensuring operation in off- grid locations Chemical-Free Operation: utilizes electrochemical methods, environmentally friendly Effective Contaminant Removal: Capable of degrading recalcitrant pollutants and organic compounds Environment, Clean Air & Water, Sanitisation

Due to the rising demand for industrial automation, autonomous robotic technology is gaining traction across various industries optimising processes and increasing operational efficiency. For these autonomous robots to execute their task with precision, they are required to be constantly aware of their surroundings to response adequately and quickly. Technologies developed from off-the-shelf components (e.g. camera-based perception) faces integration issues while industries with weak or no connectivity to the Global Navigation Satellite System (GNSS) are unable to utilise them. Developed by a Singapore-based startup, the proposed technology herein encompasses a modularised sensor hardware and edge AI software within a compact form factor, addressing fundamental 3D vision problems such as localisation positioning and obstacle detection. This solution can be easily customised, integrated and deployed in GPS-denied or GPD-obstructed areas while maintaining accuracy and reliability in navigation, tracking and monitoring of fleet, autonomous vehicles, etc. The technology solution has engaged with numerous proof-of-concept (POC) projects, including one notable engagement within the defence industry for a drone integration. The technology owner is looking for collaborative partners, such as manufacturers and system integrators within the automation space, who wishes to further enhance their robot’s perception capabilities. This technology solution is a compact device comprising of dual stereo cameras and integrated sensors with sufficient onboard processing power (4 TOPS) embedding state-of-the-art edge AI software for their visual positioning system. The solution is: Compact and lightweight (credit card size form factor) Rated IP67 Cost-effective Easy to integrate with open and interoperable architecture Usability in limited or no GNSS signal areas, as well as areas with differing lighting conditions The solution can be customised for easy integration for numerous robotic systems to enable functions such as: 3D localised positioning and depth perception Customised visual-inertial navigation Object and space detection Occupancy mapping Map building Edge AI classification This 3D vision solution can be deployed within robotic technologies across various industries that are more position-dependent, faces numerous interference and experiences limited network coverage such as: Indoor drones and legged or wheeled robots in industries including construction, warehouse, robotics, mining, etc Warehouse robotics and autonomous forklift Autonomous mining and human operated vehicles for collision avoidance Robotics solutions in defence, especially drones but also ground vehicles Defence adjacent industries such as first responders: fire fighters, police and K9 dog units The computer vision market is valued at US$11.94 billion in 2015 and is expected to be valued at US$17.38 billion by 2023, exhibiting a CAGR of 7.80% within the forecasted period. The 3D vision solution offers a modular approach (with hardware and software) which addresses integration and development issues for position-dependent robotics or vehicles, saving resources and time. This visual positioning system enables the deployment of any perception-based robots to execute reliable and accurate navigation within areas of weak or no connectivity. Virtual Positioning System, Computer Vision, Obstabcle Avoidance, Stereo Camera, Occupany Map, Edge AI, Camera-Based Perception Electronics, Sensors & Instrumentation, Infocomm, Video/Image Analysis & Computer Vision, Robotics & Automation

As global temperatures rise, governments are setting eco-friendly building standards to address concerns about energy consumption and carbon emissions. Improving energy efficiency in buildings, especially in hot climates where cooling demands increase energy use, has become a major challenge. This has driven the need for sustainable and energy-efficient building materials. Aerogels are among the most promising insulation materials due to their large specific surface area (500-1200 m²/g), high porosity (80-99.8%), and ultra-low density (around 0.003 g/cm³). They are amorphous, chemically inert, non-flammable, and exhibit extremely low thermal conductivity (0.01-0.03 W/(m·K)). Silica aerogel (SA) is particularly notable for having the lowest thermal conductivity, making it ideal for building insulation. The technology owner has developed an advanced insulation coating that incorporating in-house fabricated silica aerogel (SA) powders to enhance both thermal and acoustic insulation in buildings. This technology also works with silica aerogel powders purchased externally. Incorporating 20 vol% SA into paint and plaster formulations can reduce surface temperatures by up to 12°C and chamber temperatures by up to 3.3°C, helping to lower air conditioning use and save energy. The coating also improves acoustic insulation, offering a dual benefit. By meeting the growing demand for greener building solutions, this technology offers a competitive edge in reducing energy consumption and improving overall comfort and building performance.   The technology owner is seeking industrial partners for test-bedding and is also open to licensing opportunities for commercialization, especially with construction companies, building material manufacturers, and developers focused on sustainable and energy-efficient construction. This technology leverages the exceptional properties of silica aerogel (SA) to represent a significant advancement over current state-of-the-art building insulation materials, making it ideal for sustainable construction. Key features include: Silica aerogel has the lowest thermal conductivity of any solid insulation, outperforming even still air SA has an amorphous structure made of over 90% air, making it the world’s lightest solid material and breathable, enabling fresh air circulation Incorporating SA into building materials significantly reduces k-value, achieving high efficiency with thinner coatings or plasters while maintaining excellent energy efficience Adding SA to plaster enhances its thermal insulation properties in high-temperature environments (45°C), with a temperature reduction of up to 3.3°C Concrete cubes coated with 5 mm thick SA plaster show superior noise insulation, achieving a noise reduction of up to 19.6 dB Enhances both thermal and acoustic insulation, contributing to energy-efficient and comfortable woking and living spaces This technology is highly suited for the construction and building materials industry, with a focus on enhancing energy efficiency and sustainability in both new buildings and retrofitting projects. Its primary application is to improve thermal and acoustic insulation in residential, commercial, and industrial buildings. By incorporating silica aerogel into paints and plasters, it significantly reduces the need for heating and cooling, lowering energy consumption - particularly valuable for green building initiatives and sustainability certifications. The technology also improves soundproofing, making it ideal for noise-sensitive environments like hospitals, schools, and office spaces. Additionally, its high-temperature resistance makes it suitable for industrial insulation applications including furnaces and pipelines. Potential solutions that can be co-developed from this technology include but are not limited to: Thermal insulation paints Insulating plasters Prefabricated insulating panels Lightweight insulating concrete blocks In 2022, the global market for building insulation materials, including thermal insulation, was valued at approximately USD 26 billion and is expected to exceed USD 37 billion by 2027, with a compound annual growth rate (CAGR) of around 7%. The growing demand for advanced insulating materials like silica aerogel is driven by stringent energy efficiency regulations, increasing awareness of environmental sustainability, and the rising trend of green building certifications. Exceptional Thermal Insulation: Leverages silica aerogel’s extremely low thermal conductivity, enabling thinner and lighter insulation layers without compromising energy efficiency Enhanced Acoustic Insulation: Provides noise reduction, ideal for environments where soundproofing is essential Thin and Lightweight: Delivers high-performance insulation with significantly reduced thickness and weight, optimizing space and reducing material usage compared to traditional materials like fiberglass and polystyrene High Safety and Durability: Non-flammable and highly stable under extreme temperatures, offering better safety than traditional insulation materials Sustainability: Contributes to long-term energy savings, space optimization, and overall building performance, providing both environmental and economic benefits for sustainable construction Silica aerogel, insulation paint, insulation plaster, thermal insulation, acoustic insulation Chemicals, Coatings & Paints, Green Building, Heating, Ventilation & Air-conditioning, Sustainability, Sustainable Living

Conventional aircrafts have been a preferred mode for fast middle mile delivery within logistics and supply chain. With the increasing traction of drone technology, the usage of drone as a potential alternative mode of transport within the supply chain is greatly considered, given its comparable performance and more sustainable. Current conventional aircraft requires a runway for landing and take-off, limiting their use-case within space constraint areas. For drones, its slow operational speed and short operation range greatly limits it widespread industrial adoption. The technology owner developed a UAV solution which enables faster operational speed (up to four times) and longer flight duration (over 2 hours) compared to incumbent multicopter drones of the same class. This UAV solution comprises of tilt-electric ducted fans, a hybrid energy source and optimised design to harnesses the advantages from both drone and conventional aircraft technologies. Due to these capabilities, the technology solution enables high-risk and high-difficulty missions to be carried out, with the safety of the operator in mind, such as wide-area surveillance and reconnaissance, transportation to remote regions and shore-to-ship deliveries. The technology owner is looking for collaboration partners seeking to further explore drone technologies or integrate drones into existing workflow processes which require longer operational range and faster speed that current traditional multicopter drone is unable to accommodate. The UAV solution features a 3-meter wingspan, fixed-wing fuselage with four tilt EDFs (Electric Ducted Fans) that enables eVTOL (electric vertical take-off and landing) capabilities. It utilises a hybrid energy source system combining batteries and an eco-friendly generator for its operation, increasing its energy density for operation. Due to the proprietary flight control software, the UAV has the capability to fly for over two hours at a maximum speed of 200km/hr, providing 20 times flight range compared to conventional multicopter drones. With the optimised design of the UAV, it has a MTOW (maximum take-off weight) of 65 kg with a total mission payload of 10kg, enabling further customisation of the drone for function-specific applications. Based on the technical expertise, proprietary airframe design and flight control software, the technology owner envisions an air mobility solution to enable payloads between 200-250kg, maximum operational speed of 400km/hr and potential flight range of 400km, unlocking further capabilities for possible middle-mile transportation mode. With a heavier payload, faster operational speed and much longer flight range, the following potential applications can be explored, such as: Middle-mile transportation to currently inaccessible regions by conventional modes (road deliveries and light aircrafts) like mountains and remote islands Wide-area surveillance and reconnaissance requiring long deployment and constant monitoring Urban Air Mobility (UAM) for pilot training and ultra-light aircraft aerial transport Shore-to-ship transportation for logistical resupplies Disaster response for delivery of emergency medical supplies and services The global drone industry currently has a market size of $27 billion in 2021 and is expected to be valued at $122 billion in 2032, exhibiting a CAGR of approximately 14.6% during the forecasted period. This UAV solution integrates the advantages of both conventional drone technologies and conventional aircraft technologies, enabling eVTOL with a fixed-wing aircraft design. This enables vertical take-off and landing in confined spaces without a runway, while also enabling high-speed and long-distance flight similar to conventional fixed-wing airframe design. Additionally, by utilizing an eco-friendly hybrid energy source, it overcomes the low energy density limitations of traditional battery systems and allows for UAV operations independent of separate charging infrastructure. UAV, eVTOL, Logistics Transportation, Logistics Delivery, Drone, Advanced Air Mobility, Unmanned Aerial System Infocomm, Robotics & Automation, Smart Cities, Logistics, Transportation, Delivery & Distribution

In healthcare, accurately assessing pain is critical, yet it remains a significant challenge, particularly for patients unable to effectively communicate their discomfort. This includes individuals with cognitive impairments, critical care patients, and pre-verbal children. Traditional pain assessment methods rely heavily on verbal communication or subjective observer-based pain assessment, which can lead to missed or poorly managed pain, resulting in either under-treatment or over-analgesia treatment. To address this issue, this advanced AI-based solution automates the process of estimating pain intensity by analyzing facial expressions captured in video data. The technology is a deep learning system consisting of facial landmarks (specific points on a person's face, such as the corners of the eyes, nose, mouth, and other prominent facial features) extraction, 3D normalization and Spatial-Temporal Attention Long Short-Term Memory (STA-LSTM) model. These facial landmarks provide critical information about facial expressions, allowing the system to accurately assess pain levels. By integrating this technology into clinical settings, healthcare providers can significantly enhance patient care, reduce the burden on staff, and improve overall pain management practices. This solution not only ensures timely and appropriate intervention but also protects patient privacy by using non-identifiable facial landmarks, making it a powerful tool for modern healthcare environments. The technology is an advanced AI-based software algorithm designed for automated pain detection using facial expressions. It offers the following features: Automated Pain Detection: Utilizes a deep learning model that seamlessly integrates facial landmark extraction and analysis to estimate pain intensity levels without the need for human intervention. Real-Time Monitoring: Continuously tracks and assesses pain levels from video footage, providing instant feedback and visual representation of pain level distribution over time. AI-Driven Analysis: Powered by a Spatial-Temporal Attention Long Short-Term Memory (STA-LSTM) network, the system excels in identifying and analyzing specific facial expressions related to pain, ensuring high accuracy in pain detection. Privacy Protection: The system exclusively uses non-identifiable data by extracting and processing facial landmarks, ensuring patient privacy while maintaining the integrity of pain analysis. High Accuracy: Achieves a training accuracy of 98% and a validation accuracy of 92.2%, supported by robust data processing techniques, including 3D normalization of facial landmarks and strategic data balancing. This technology is highly suited for hospitals, nursing homes, and healthcare facilities that manage patients who are non-communicative, cognitively impaired, or otherwise unable to express their pain effectively. It is also valuable for telemedicine platforms, rehabilitation centers, and home care services, where remote patient monitoring is critical. Furthermore, the system can be seamlessly integrated into surgical and critical care units to provide real-time pain assessment. Its ability to integrate with existing infrastructure, such as CCTV systems, makes it a cost-effective, easily adoptable solution that enhances pain management across various healthcare settings. This system offers secure, non-invasive, objective and real-time pain assessment by analyzing non-identifiable facial landmarks, ensuring patient privacy and compliance with data protection regulations. Objective and Continuous Pain Assessment: Provides real-time, objective monitoring, reducing reliance on subjective assessments. Improved Patient Outcomes: Ensures timely and appropriate pain management, preventing under- or over-analgesia treatment. Privacy Protection: Uses facial landmarks for analysis, maintaining patient anonymity. Eases Healthcare Providers' Burden: Automates pain monitoring, allowing staff to focus on other critical tasks. Cost-Effective Integration: Easily integrates with existing infrastructure, offering a scalable solution. Broad Applicability: Suitable for diverse healthcare environments, including hospitals, nursing homes, and telemedicine. Facial Recognition, Pain Detection, Facial Landmarks, STA-LSTM, Healthcare, Cognitive Impairments Infocomm, Artificial Intelligence, Healthcare, Diagnostics, Medical Devices, Telehealth, Medical Software & Imaging, Healthcare ICT

Cooking oil waste has become a significant environmental problem in recent years. Improper disposal of used cooking oil and fried food scraps can lead to pollution of water sources and the release of harmful greenhouse gases. When poured down into drains, it travels through sewage systems to rivers and oceans, disrupting ecosystems, clogging water treatment plant filters, and complicating water purification processes. Additionally, there are higher costs associated with waste disposal in volume-based plastic garbage bags which are also not environmentally friendly. This technology addresses the above pain points by offering a sustainable solution that recycles discarded fried food scraps into high valued biodiesel raw material, preventing water pollution and sewage pipe blockage when discarded without appropriate measures. This innovation addresses a critical market need by providing a greener alternative to conventional disposal methods, reducing waste disposal costs and the production of high valued biodiesel as an end point.  The technology owner is seeking collaborations with companies in the fields of waste management and biodiesel production for test-bedding and research & development projects aimed at recycling fried food scraps into biodiesel. Advanced System Features: It starts with the input of fried food crumbs, where impurities are removed. The material undergoes heat treatment with controlled rotation to optimize the separation process. The mixture is then separated into two main components:  Sludge: used as a raw material for biodegradable plastics, supporting the development of sustainable materials. Crude Waste Cooking Oil: Further refined into biodiesel raw material, offering a renewable alternative to traditional fossil fuel. IT-Driven Collection and Digitalization: It utilizes an IT platform to collect and digitize the supply chain of fried crumbs which enhances the efficiency and traceability throughout the process. Recycling Focus: Emphasizes recycling food waste rather than upcycling, ensuring complete repurposing into new products which maximizes resource recovery by fully converting waste into valuable outputs. This technology has the potential to be applied on these areas, harnessing on its ability and process to convert waste cooking oil into high valued biodiesel. Renewable Energy Sector: The refined waste cooking oil can be used as a raw material for biodiesel, a renewable fuel that can power diesel engines in vehicles, machinery, and generators, reducing reliance on fossil fuels and lowering greenhouse gas emissions. Waste Management and Recycling: Innovative waste management solution for food processing industries, restaurants, and large-scale kitchens, turning waste by-products into valuable resources rather than disposing of them. Agriculture and Animal Feed: The sludge can also be used as a nutrient-rich feedstock for insect farming, supporting the production of sustainable animal feeds. The global biodiesel market was valued at approximately ~USD 43 billion in 2022, with an expected annual growth rate of 5.25%, projected to reach ~USD 65 billion by 2030. Additionally, the market for bio aviation fuel is anticipated to increase by 60 million tons by 2040 (growth of over 20%). This underscores a strong demand for sustainable biofuels. Innovative Raw Material Use: Unlike other companies that primarily use waste cooking oil, this technology utilizes fried food crumbs as the main raw material, allowing a more versatile input stream, tapping into an underutilized waste source. Superior Additive Development: Significant advancements in additive development have resulted in a 50% increase in overall yield, making their process 2.5 times more effective than competitors. Furthermore, the enhancement in acid value indicates a superior quality of biodiesel raw material, which translates to improved efficiency and performance. biodiesel, carbon neutral, recycling, cooked oil, waste reduction Sustainability, Circular Economy

With the global trend of industrial automation, robotic arm technology is being developed and integrated to existing business workflow, increasing labour productivity and operational efficiency. However, current end effectors attached to robotic arm excels in automation tasks of handling homogeneous robust objects but fall short in handling irregular, fragile objects. Current robotic grippers (end effector) lack the finesse and limberness required, limiting their usage in particular areas such as agriculture, F&B, pharmaceutical and logistics. The technology solution developed is a smart soft robotic gripper as a modular end effector that addresses the challenge of handling objects with varying sizes, shapes, and weights, an issue unsolved by traditional robotic grippers. This innovative gripper tool mimics the flexibility and versatility of biological structures like tendrils, enabling an extra dimension of growth and twining capabilities. By wrapping itself securely around objects, the robot soft gripper manipulates items gently, minimizing the risk of crushing or damaging them. Its integrated sensors provide real-time contact feedback capabilities, enabling precise monitoring and adaptive control by the robot soft gripper's system. The technology owner is seeking collaborative partners, such as system integrators or end-users, who are in need and keen to integrate a versatile, adaptive, and gentle handling solution that can operate efficiently in environments where object fragility or irregularity is a key concern. The smart soft robotic gripper module comprises of three key components: flexible fingers, actuation system and sensor integration. A novel concept is introduced for a flexible finger, utilizing a single tendon within a flexible body to perform three-dimensional bending and twisting motions. This design enhances the gripper’s adaptability, allowing it to handle objects with various shapes, sizes, and weights, with current payload exceeding 10kg. The integration of vision and haptic sensors further refines its capabilities to provide gentle and precise manipulation of delicate items. Additionally, the sensor integration supports potential applications in sensor fusion and IoT systems, expanding its utility across advanced automation environments like smart farms and smart factories. With its modular design, it enables customisation and scalability to integrate into existing robotic systems. Handling of Food (urban farming, food and beverages) The gripper solution can gently handle delicate crops like bunches of vegetables and irregularly shaped fruits, which can facilitate automated harvesting or processing with minimal damage. Its adaptability makes it potentially suitable for smart farms where precision and adaptability are essential. A pilot test for harvesting automation is currently being conducted in an urban farming application. Smart Factories (warehousing, manufacturing) The gripper solution is able to handle a variety of fragile and odd-shaped product, providing flexibility to environments of heterogenous items. The technology also enables safe handling of items, promoting industrial automation of delicate assemblies and improving assembly precision. Pharmaceuticals (medical device, procedures) The gripper tool can handle sensitive medical devices and products to minimise or prevent damaging during handling. The tool is able to provide additional assistance to medical personnel for more delicate medical procedures, reducing discomfort while increasing precision. The smart soft robotic gripper is bio-inspired and mimics natural organism, like octopus arms, to enhance navigation and interaction with their surroundings. This results in an extra dimension of flexibility and versatility to handle intrinsic nonlinearity of soft, delicate, heterogenous materials. The integrated sensors enable situational awareness capabilities, providing adaptability and enhancing precision. Lastly, the modular design provides customisability to specific use-cases, with the gripper being able to be scaled to suit the operational needs. Soft Gripper, Smart Gripper, End Effector, Soft Robotic Gripper Electronics, Actuators, Manufacturing, Assembly, Automation & Robotics, Foods, Processes

In a more globalized and interconnected world, logistical management becomes more complex with more demand for real-time tracking of products within the supply chain. With global events potentially disrupting any section of the supply chain, companies within are now required to efficiently provide visibility of the orders while building up resiliency to ensure smooth operation of their services. The technology solution addresses the complexities of modern supply chains by providing a unified solution that integrates multiple products & tools for efficiently managing the logistics and warehouse. The platform uses AI and IoT to deliver real-time visibility, predictive analytics, and automated workflows. This innovation aims to improve efficiency, reduce costs, and enhance sustainability for enterprises within the logistics and warehouse sectors. The technology owner is looking for collaboration partners, who wish to leverage on their data and AI solutions to automate logistical workflow operations and enable data-driven decisions for supply chain optimisation. The solution suite encompasses a suite of modules including a warehouse management system (WMS), labor management system (LMS), transportation management system (TMS), and shipping solutions. The key features of this technology include AI-driven predictive analytics, real-time tracking, automated inventory management, and comprehensive API integrations with e-commerce platforms and carriers. The platform’s comprehensive and scalable solution accommodates to the growth plan of any business while providing smooth operation, improved operational efficiency and cost savings. The digital platform is a versatile solution improving supply chain processes across various industries such as Warehouse Automation: Enables streamline inventory tracking, order picking and shipment processing Inventory Management: Optimise inventory stock and prevents stockouts or overstock situations Logistics Management: Leverages on AI to optimise transportation route planning, shipment tracking and carrier management Supply Chain Processes: Provides real-time visibility and analytics while integrating seamlessly with existing system Retail Management: Enables management of omnichannel inventory, automating order fulfilment and ensuring timely deliveries The global logistics automation market is projected to reach USD 100 billion by 2025. The end-to-end platform solution provides workflow automation from the first mile to the last mile for any logistics operation needs. Its modular design offers customization while ensuring scalability, catering to the unique needs of both small businesses and large enterprises. This AI-powered solution provides AI-driven insights via forward technology integrations and seamless 3rd party system integration, enabling a high level of connectivity and accessibility. Logistics Automation, Warehouse Management, Supply Chain Visibility, Predictive Analytics, API Integration, Shipping, Freight Forwarding, Artificial Intelligence Logistics, Planning & Order Processing, Inventory Management, Delivery & Distribution, Value-Added Services