Page 22 - ITLN-September-October-2024-Issue-for-Website

Spotlight
Data-Driven
Decision Making

losses, and damage to customer
relationships. To address these issues,
companies are adopting technologies
like data integration platforms, AI, and
cloud-based solutions.
“Data accuracy and quality are
critical for us. We obtain data from
highly reliable sources via API, which
eliminates manual intervention and
ensures consistency across the data
acquisition process. Our data comes
from system-generated sources
or various integration layers we've
established to maintain data integrity
and accuracy,” says Rai of FreightFox.
“We employ a built-in diagnostic
system to check for anomalies based
on historical trends. For instance, if
an agricultural dataset shows 5,000
metric tonnes of onion arrivals in IoT to create more intelligent, agile,
Maharashtra for a month, we cross- and sustainable supply chains,” says
reference it with historical data and Kishore of Bar Code India.
seasonal patterns. A significant “Recently, we launched Dristi, an
discrepancy, like the previous year’s IoT-based RFID reader designed to
data showing 500 metric tonnes for revolutionise supply chain operations
the same month, would be flagged with best-in-class performance.
as an anomaly. We then validate and Equipped with a powerful processor,
correct these anomalies to ensure data expansive memory, and in-built
accuracy,” explains Rai. 4G-LTE/Wi-Fi options, Dristi sets a new
standard for RFID technology with its
Future trends and opportunities: top-tier IP rating, ensuring reliability
"At Interem Relocations, we embrace across diverse environments. This
innovation to enhance logistics. is just one example of our forward-
Technologies like Artificial Intelligence thinking approach.”
(AI) and Machine Learning (ML) We are exploring the Regarding effective tools for data-
improve predictive analytics, use of AI and machine driven logistics, Rai of FreightFox notes,
automation, and decision-making. learning algorithms to “Among various effective tools, the
IoT provides real-time visibility, automate tasks, optimise Unified Logistics Interface Platform
while 5G and edge computing enable processes, and predict (ULIP) stands out. ULIP is a government
faster data processing and analytics. initiative aimed at enhancing logistics
Cloud computing and big data ensure future trends. efficiency and productivity nationwide.
scalable, secure operations,” says It has played a crucial role in
Agarwal of Interem Relocations. Vishal Agarwal democratising critical data, allowing us
Interem Relocations
He also highlighted sustainable to enhance various aspects of logistics,
logistics, cybersecurity, and emerging including cost, service, capacity, and
technologies such as Augmented On a similar note, Bar Code India is sustainability. This, in turn, helps deliver
Reality (AR) and Virtual Reality (VR) also driving innovation in supply chain superior logistics solutions across
“Sustainable technologies like electric management. these dimensions.”
vehicles and green warehousing are “As we look to the future, we are The future of Indian logistics is
key to data-driven decisions, alongside committed to pushing the boundaries intrinsically linked to its ability to
robust cybersecurity to protect of technology to redefine what’s harness data effectively. As the sector
logistics data. Additionally, AR and VR possible in supply chain management. continues to evolve, those who can
enhance employee training and enable Our focus will continue to be on leverage data-driven insights will
remote facility inspections, improving harnessing cutting-edge technologies be best positioned to thrive in this
efficiency and reducing costs." such as AI, machine learning, and dynamic and growing market. 
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September - October 2024 www.itln.in