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Supply Chain Solutions

Building a more resilient supply chain through sustainable solutions

We harness the power of Big Data analytics and advanced APIs to bridge the gaps between the demand and fulfillment for a steady stream of supply for your industry

Overview

A data-driven human-centric model

The ecosystem of interconnected technologies with millions of digital devices are sharing data points, and truning that data into information serves industries to pick an unpresedented momentum. Industry 5.0 technologies step forward with the new human-centric design for industry and society focusing on environmental and social sustainability so have eveloved the concept of Supply Chain 5.0. BYSL Global technology is a mission-driven organization exploring, innovating and investing in supply chain 4.0 solutions with the industry 5.0 mindset that puts human in the center of the technology to reap the best of it at a higher control and safety. Heavily invested in Big Data and block chain technologies, we work to aid breakthroughs in the world of supply chain through cutting edge solutions.

Problems

Problems of the existing
supply chain

Manual, labor-intensive, operational structures of the fulfillment facilities in classic supply chain systems are highly inadequate to meet the needs of the growing demands of today’s industries. Introduction of automation through robotics has already been introduced by some of the leading fulfillment giants, but due to astronomical pricing and unavailability of the technology, businesses are not being able to utilize the technology. As a result, businesses are capitalizing on human labor rather than technology, which is apparently not a sustainable model.

Transportation and distribution of goods have been heavily disrupted due to pandemic situations as the supply chain is interdependent between things being manufactured in one place and consumed in another. The post-pandemic situation saw a plunge in demands in most sectors as economic activities decreased. Wrong demand forecasting resulted in reduced supply activities. On the other hand, the global COVID-19 situation froze supply chain operations world wide due to shutting down of factories and labor shortages, slowing down the pace to a near standstill, causing massive backlogs. Worldwide supply chain shortage due to dysfunctional operations management came as a by-product of the situation.

The immense volume of data generated by various systems, devices and communication has mostly been poorly managed, analyzed or utilized by the existing infrastructure of the supply chain. As a result, the supply chain today is more demand-driven instead of being data-driven or forecast-driven. Key decisions are mostly drawn from the events that happen. Perception-driven forecasting of demand resulted in an overwhelming number of demands left unfulfilled due to lack of supply. The ever-growing need for an effective, centralized data analytics powered by AI and ML is barely fulfilled. The current supply chain systems lack the agility and flexibility to solve these problems.

One of the biggest challenges for today’s supply chain is that companies lack transparency as to their storages, surplus and demand. Keeping extra raw materials comes at a cost but when it comes to risk management during low-probable high-impact disruptive events, shared information could be a key to handle the crisis. The post-pandemic microprocessor crisis is one example of lack of transparency. In today’s world, the supply chain is depended on not just a relevant supplier, the entire Supply Web is interdependent. We need more accurate and updated maps of key inputs and where they come from in any given industry.

Manual, labor-intensive, operational structures of the fulfillment facilities in classic supply chain systems are highly inadequate to meet the needs of the growing demands of today’s industries. Introduction of automation through robotics has already been introduced by some of the leading fulfillment giants, but due to astronomical pricing and unavailability of the technology, businesses are not being able to utilize the technology. As a result, businesses are capitalizing on human labor rather than technology, which is apparently not a sustainable model.

Transportation and distribution of goods have been heavily disrupted due to pandemic situations as the supply chain is interdependent between things being manufactured in one place and consumed in another. The post-pandemic situation saw a plunge in demands in most sectors as economic activities decreased. Wrong demand forecasting resulted in reduced supply activities. On the other hand, the global COVID-19 situation froze supply chain operations world wide due to shutting down of factories and labor shortages, slowing down the pace to a near standstill, causing massive backlogs. Worldwide supply chain shortage due to dysfunctional operations management came as a by-product of the situation.

Solutions

Tackling supply chain challenges with the next-gen technologies

Automation

If you are up for a more resilient operational infrastructure for fulfillment services which can keep up with the most demanding needs of today’s market, automation is a way to go. Our AI and ML based automation applications cover fundamental areas of the supply chain including warehousing, pick, pack and shipping operations, security, data storage, human resources management, finance, communications etc. We provide industry-specific solutions as we understand the diversity of needs in connection with time and place.

AI and ML integration

Real time inventory management

Robotics applications

Customizable system design

Industry-specific solutions

Advanced Data Analytics

Aiming to ensure a demand-driven supply chain operational structure for your business, our advanced analytics engines are designed and developed with a human-centric architecture that would accumulate, analyze, and forecast actionable insights from those data and turn them into pieces of valuable information so that you can use those bits of information to scale businesses at an exponential rate. With the help of our advanced analytics, forecasting would not only be faster but also cheaper and more effective.

Data mining

Actionable insights

Increased market intelligence

Industry specific analytics

Real time tracking and tracing

Interconnected Advanced APIs

We design APIs to help businesses keep track of their inventories and share them with any other stakeholders in times of need. We understand that better data helps better decision making but too much data could be overwhelming and that is where we apply technology to help our clients thrive through a well-connected network.

Custom APIs

Dynamic configuration

Real time monitoring

Flexible integration

Risk management using AI and ML

Through end-to-end visibility of the entire production process implementing artificial intelligence and machine learning is one fundamental step towards building a resilient supply chain. We help develop advanced tools for our clients so that they can monitor business processes real time and have full control over the production process and operate with greater efficiency.

Monitor business processes to minimize risk

Automatically determine the use of inventory to reduce cost

Maximize capacity utilization with the help of AI

Have greater control over production processes

Automation

If you are up for a more resilient operational infrastructure for fulfillment services which can keep up with the most demanding needs of today’s market, automation is a way to go. Our AI and ML based automation applications cover fundamental areas of the supply chain including warehousing, pick, pack and shipping operations, security, data storage, human resources management, finance, communications etc. We provide industry-specific solutions as we understand the diversity of needs in connection with time and place.

AI and ML integration

Real time inventory management

Robotics applications

Customizable system design

Industry-specific solutions

Advanced Data Analytics

Aiming to ensure a demand-driven supply chain operational structure for your business, our advanced analytics engines are designed and developed with a human-centric architecture that would accumulate, analyze, and forecast actionable insights from those data and turn them into pieces of valuable information so that you can use those bits of information to scale businesses at an exponential rate. With the help of our advanced analytics, forecasting would not only be faster but also cheaper and more effective.

Data mining

Actionable insights

Increased market intelligence

Industry specific analytics

Real time tracking and tracing

Resources

Business insights: Latest highlights