Page 92 - IMDR Journal 2025

Research Article
secure, and reliable. Looking ahead, deep technologies are unit costs and requires complex scheduling. Production
expected to play an even greater role in shaping the future of lines that create TV sets, pencils and automobiles serve as
trade finance, especially as advancements like quantum examples for repetitive process type products. This
computing and decentralized finance (DeFi) gain production approach enables high production volumes
momentum. These innovations have the potential to make however it requires expensive equipment downtime and
global trade faster, safer, and more efficient. Experts believe reduces operational flexibility. The continuous process
that as AI and blockchain continue to evolve, we could see involves the production of the highest volumes, rigid
the rise of nearly fully automated trade finance systems. The equipment, and low-skilled personnel. Examples of a
increasing adoption of digital assets together with tokenized continuous process type are sugar, flour, gasoline, steel
trade instruments will bring substantial changes to how production, and supplying electricity or the Internet. This
financial operations occur across international borders. The type's disadvantages are its rigidity and low variety; its
Progress experiences persistent challenges because of advantages are high volumes and efficiency. Project process
cybersecurity risks and regulatory shortcomings. Research type is usually chosen in project work cases, for example,
and proper policy development will be necessary to achieve when filming a movie, publishing a book, building a dam.
complete benefits from deep-tech applications in global Project type can have characteristics of all types because of
financial operation. the projects' variety. Thus, the five basic process types and
the advantages and disadvantages of each were described by
METHODOLOGY comparing and contrasting them using examples. Job shops
are often used when there is a need to produce small volumes
This research utilizes existing data sources to explore deep of unique products; batches are used in medium volumes
technological impacts on global trade finance and work variety. Repetitive and continuous types emerged
transformation. The trade finance sector holds vital
after the industrial revolution and now represent high
importance yet academic research on this topic remains
volume production types for the mass consumer.
sparse. The study uses various dependable sources that
include WTO and ICC information to determine significant Meanwhile, digital payments are growing quickly and
trade finance trends and technology adoption rates. The could reach $250 billion by 2025. But as digital payments
research analyzes the technological developments that take rise, so do cyber threats, which cost the global economy $6
place within the trade finance industry. The study assesses trillion in 2022 alone, highlighting the urgent need for better
how new deep technologies influence trade finance security measures. Real-time data analytics tools enable
operations by evaluating their effects on efficiency and businesses to make better decisions through demand
security and transparency levels. The research provides forecasting and risk assessment processes. Deep tech
useful knowledge which helps policymakers alongside adoption faces several obstacles because organizations
financial institutions and businesses to manage the changing worry about data privacy risks and cybersecurity threats and
global trade finance environment. system integration problems. Various stakeholders
including governments and regulators and financial
institutions and technology providers must collaborate to
FINDINGS AND DISCUSSION achieve successful tool implementation. The future
potential of quantum computing and DeFi and tokenization
Our research paper , we examined a wide range of existing
research and data to understand how deep technologies are in trade finance depends on establishing robust regulatory
frameworks and security measures. Overcoming these
changing the landscape of trade finance around the world.
challenges is essential to establish a worldwide trade finance
Selecting a manufacturing process usually depends on the system with enhanced speed and security which will also
type of work and the volume of production. There are five promote inclusiveness and resilience.
main process types – job shop, batch, repetitive, continuous,
and project. Noteworthy, there are many factors to consider CONCLUSION
when choosing a process, as each type has its advantages and Deep technologies including blockchain, artificial
disadvantages. This paper aims to describe the five basic intelligence (AI), big data analytics and digital payment
process types by comparing and contrasting them using solutions have been integrated rapidly into global trade
examples Job shops and batches first emerged as production finance systems to transform efficiency and security
methods before the industrial revolution introduced outcomes while enhancing transparency across the industry.
repetitive and continuous processes. Job shops produce The research reveals these technological innovations are
various products through small volume production. The key drivers of lower transaction costs and fraud prevention
process needs adaptable equipment together with skilled
while also speeding up trade settlement processes. Smart
personnel to handle various work tasks. The process has two
contracts on blockchain systems have proven essential for
main disadvantages which include expensive unit costs and enabling automated financial transactions while
difficult scheduling. The job shop model exists in two main streamlining trade processes by eliminating intermediaries.
forms which include jewelry repair shops and veterinarian The integration of AI into risk management and fraud
clinics. Batches serve as the production method for detection systems enhances financial security and digital
moderate quantities of products that have moderate variety. payment systems make cross-border trades both faster and
Bakers and airlines that serve groups of people serve as more accessible for participants. Trade finance
typical examples of this production method. The process professionals believe deep technology adoption will expand
offers flexibility as its main benefit yet it generates moderate
further as AI adoption grows at a 35% annual rate while

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