INNOVATIONS

Driven by Passion
to Think Ahead

FUTURE PROOF YOUR
BUSINESS WITH
DIGITAL INNOVATION

FROM MANUAL TO AUTOMATED

Big Data

Companies are learning to turn large-scale quantities of data into competitive advantage. Their precise forecasting of market demand, radical customization of services, and entirely new business models demonstrate exploitation of their previously untapped data.

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Features

  • Operational Capacity Planning
  • Risk Evaluation & Resilience Planning
  • Decoding truck driver behavior
  • Service Improvement
  • Strategic Network Planning
  • Real-time route optimization
  • Crowd-based pickup & delivery
  • B2B demand & supply chain forecast

Blockchain

Achieving excellence in logistics involves working collaboratively with others to optimize the flow of physical goods as well as the complex flow of information and financial transactions from the fragmented and competitive nature of the industry. Blockchain can achieve cost savings by powering leaner, more automated, and error-free processes. As well as adding visibility and predictability to supply chain operations.

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Features

  • Faster & leaner logistics in global trade
  • Improving transparency & traceability in supply chains
  • Automating commercial processes in logistics with smart contracts
  • Transportation payment and dispute resolution

Co-Bots

Opportunities to take advantage of collaborative robots exist throughout the supply chain, including manufacturing and warehousing operations. Implementing robotic systems can improve efficiency, reduce errors, increase safety by relieving humans from dangerous tasks, and reduce machine downtime. Compared to traditional industrial robots, the latest collaborative robots are better suited to high mix, low volume production.

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Features

  • Increasing the productivity of operational processes
  • Avoiding cumbersome handling of heavy loads
  • Increased Return on Investment
  • Safely Handle Complex and Dangerous Tasks
  • Better Robot-Human Interaction and Efficiency

Artificial Intelligence

AI applications across the supply chain that can create new value in the form of operational efficiencies, cost savings, and increased customer loyalty. Supply chain planning and optimization, including demand forecasting, are among the key areas in AI.

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Features

  • Maintenance of trucks
  • Automated Dock space management
  • Proactive scheduling of resources
  • Demand Forecasting
  • Faster and more accurate shipping reduces lead times & transportation expenses

Internet Of Things

IoT promises far-reaching payoffs for logistics operators and their business customers and end consumers. These benefits ex-tend across the entire logistics supply chain, including warehousing operations, freight transportation, and last-mile delivery. And they impact areas such as operational efficiency, safety and security, customer experience, and new business models.

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Features

  • Transparency and integrity control (right products, at the right time, place, quantity, condition and at the right cost) along the supply chain
  • Detailed shipment tracking to have real time monitoring
  • Integrity control especially for sensitive goods
  • Transparency of networks and assets being used for ongoing optimization of efficiency and network utilization

Augmented Reality

AR is vital for the prospective and exact planning and operation of tasks such as delivery and load optimization and is critical to providing higher levels of customer service. AR can be applied in following operations like: Warehousing Operations, Transportation Optimization, Last-mile Delivery & Enhanced Value-added Services.

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Features

  • Optimized picking
  • Simulation of truck shipment
  • Load Optimization with auto dimensioning
  • Improvement on pick & pack services
  • Simulation for warehouse operation process
  • Optimized Routing
  • Improve parcel handling & damage protection

Machine Learning

Machine learning is a process where the computer is designed to learn like a human, without explicit coding. Discovering new patterns in the Logistics data has the potential to transform the business. Leading Logistics service providers are beginning to work on using machine learning to improve business efficiencies. Machine learning is being adopted in Logistics Control Tower operations to provide deeper insights into how every facet of collaboration, logistics and warehouse management can be improved.

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Features

  • Reducing freight costs
  • Improving supplier delivery performance
  • Lower inventory and operations costs
  • Quicker response times to customers