Logistics robots can improve efficiency.
Optimized logistics processes can effectively reduce
labor costs and the incidence of human error, while
improving operational efficiency and thus reducing
the overall total cost of logistics operations. By
introducing automation and intelligent technologies,
companies can achieve more efficient cargo handling
and distribution and reduce potential errors caused by
human intervention. This fully optimized logistics
system not only improves operational efficiency and
accuracy, but also reduces operational costs, creating
a more stable and sustainable foundation for the
company.
Logistics robots can improve work accuracy.
Utilizing logistics robots equipped with sensors and
advanced navigation technology, precise task
execution can be achieved, effectively avoiding
human error and significantly improving the accuracy
and efficiency of order processing. This automated
system ensures that goods maintain a high level of
accuracy throughout the entire handling process,
thereby reducing errors and delays that may be caused
by human operations. The intelligent operation of
logistics robots not only enhances operational
reliability, but also dramatically improves the
efficiency of the business, providing customers with
more reliable and timely service.
Logistics robots can enhance work safety.
Logistics robots have advanced environmental
awareness and obstacle avoidance capabilities when
performing tasks, and can accurately recognize the
surrounding environment to avoid collisions or other
potential safety hazards in a timely manner,
significantly improving the level of safety in logistics
operations. This highly automated mode of operation
can not only protect logistics equipment and goods
from damage, but also effectively reduce the
incidence of accidents in the workplace, to protect the
safety of employees and equipment. Intelligent
characteristics of logistics robots for the logistics
industry to bring a more reliable and safe operating
environment, for enterprises to create a more stable
and sustainable development basis.
Logistics robots can respond to peak requirements
in a timely manner. In the logistics industry,
especially during peak hours such as promotions or
holidays, demand for orders will increase rapidly,
challenging the logistics capabilities of enterprises.
Utilizing logistics robotics, companies can effectively
cater to the surge in demand during peak hours and
improve order processing capabilities and efficiency.
This efficient logistics solution not only meets
customer demand for fast delivery, but also reduces
error rates, improves the customer experience, and
enhances an organization's competitiveness in a
highly competitive marketplace.
Logistics robots can effectively improve customer
experience. By introducing advanced logistics
robotics, companies can dramatically increase order
processing speed and delivery efficiency, thereby
shortening overall lead times. This efficient logistics
system not only meets customer demand for fast
delivery, but also improves the accuracy and
reliability of order processing, thus enhancing
customer satisfaction and shopping experience. As
customers' demands for service quality and delivery
speed continue to rise, utilizing the technological
advantages of logistics robots not only improves
customer satisfaction, but also increases customer
loyalty and promotes long-term business
development.
4.2 Focus on Sustainability
The study highlights the essential role of the
Sustainable Management Control System (SMCS) in
integrating sustainability principles into
organizational management. SMCS enhances
sustainability measurement, compliance, risk
management, collaboration, and continuous
improvement within the supply chain. Eco-
innovation complements SMCS, positively impacting
environmental, social, and economic sustainability.
Supply Chain Management (SCM) optimizes
operational efficiency, reducing costs, and enhancing
customer satisfaction, while digital adaptability
empowers organizations with technology for
sustainable outcomes(Dharmayanti, 2023). The
development of the digital supply chain faces a
number of challenges, with the outbreak of the
COVID-19 pandemic at the end of 2019 being a
particularly significant obstacle. This global health
crisis has dealt a major blow to markets across the
globe, disrupting supply chains and causing
significant economic losses.
The pandemic has highlighted the fragility of
current supply chain systems, which are often
complex and reliant on a global network of suppliers,
distributors, and customers. As the virus spreads,
businesses have been forced to close their doors,
borders have been closed, and travel restrictions have
been implemented, all of which have had a negative
impact on the flow of goods and services.
Supply chain intelligence is crucial to the
operational efficiency of retail enterprises. Therefore,
retailers should set clear supply chain intelligence
goals, allocate sufficient resources, and establish a
sustainable supply chain intelligence plan. The initial