Development and Optimization of a Logistics

1.

Development and Optimization of a Logistics
Platform to Enhance Efficiency and Customer
Satisfaction
Amina Ospanova, Vildan Khissamutdinov, Zhomart Zhetpisbekov

2.

Research Area
Key Questions:
-Current Logistics Inefficiencies and
Customer Satisfaction
-Machine Learning for Route
Planning and Inventory
Management
-Real-Time Tracking's Impact on
Customer Satisfaction
-Blockchain for Security and
Transparency in Logistics
-User Interface Design's Effect on
Platform Usability
-Cost-Benefit of Advanced
Optimization Algorithms
-Scalability in Logistics for
Enhanced Efficiency and
Satisfaction

3.

Goal of the project
The overarching goal of this research project is to develop
an advanced logistics platform that effectively addresses
industry challenges, streamlines operations, and
significantly enhances customer satisfaction. This entails
tackling inefficiencies impacting operational procedures,
integrating emerging technologies like machine learning
and blockchain to drive transformative benefits,
highlighting the economic advantages of optimized
logistics, improving competitive positioning in the global
market, contributing to environmentally sustainable
logistics practices, and ensuring scalability for future
growth.
3

4.

Clearly defined tasks
Theoretical part:
Theoretical data reporting analysis: analyze
theoretical aspects of generating reports and
analytics.
User interface design conceptualization:
defining the design concept with a focus on
usability principles.
Website layout planning: developing a layout
plan for optimizing user experience.
Database schema design: planning data
organization within the database.
User-centered design research: conducting
user research to inform design.
Data collection and analysis: searching for
relevant data and insights.
Creation of documentation: develop
comprehensive documentation for code and
processes.
Functional part:
Front-end code development: coding the frontend using relevant technologies.
Server and database setup: implementing the
necessary infrastructure.
Development of APIs: create APIs for data
communication.
Data security measures implementation:
incorporating security measures to protect user
data.
Optimization and scalability enhancements:
optimizing the back-end for performance.
Integration of data queries: developing queries
for data integration.
Data quality maintenance: implementing
practical data validation and cleansing.
Data backup and recovery planning:
establishing backup plans for data safeguarding.
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5.

Literature review
The design and implement of China-Japan-South
Korea logistics information platform based on
information
service
exchange
The
study highlights
the growing
demand for an integrated logistics information
platform among China, Japan, and South Korea, driven by the rapid economic
development and increased trade in the region. The research emphasizes the
significance of efficient, cost-effective logistics in the global trade context,
underscoring the importance of information sharing among logistics
stakeholders and the role of standardization in achieving seamless
communication. The proposed logistics information exchange platform offers a
solution to the challenge of non-uniform information standards, promoting
interoperability and transparency. However, to enhance its applicability, a more
inclusive approach considering domestic logistics intricacies is necessary.
Implementing such a platform poses technical, security, and regulatory
challenges that must be carefully addressed for successful execution,
ultimately improving logistics efficiency and customer satisfaction.

6.

Literature review
Logistics platforms-trends and challenges
The primary focus will be on dissecting and analyzing the various themes
related to logistics platforms (LPs) and their significance in the realm of supply
chain management. This thematic analysis encompasses the diverse types
and applications of LPs, their role in a global context, and the challenges
arising from the rapid evolution of technology. It will also delve into the vital
consideration of environmental factors in LPs and how they can contribute to
supply chain resilience. Moreover, it highlights the potential for LPs to enhance
customer satisfaction through efficient order fulfillment, reduced lead times,
and precise delivery tracking. The integration of LPs with information
technologies will be a central theme, emphasizing the importance of datadriven decision-making, real-time tracking, and automation in improving
logistics efficiency. In conclusion, we will assess the article's contributions to
the understanding of LPs and acknowledge the pressing need for further
research to address emerging challenges, particularly in the context of shifting

7.

Comparative Analysis
Competitors Overview:
Functions:
SAP Integrated Business Planning (IBP): A
next-gen solution for supply chain
improvement, covering demand and supply
planning, inventory optimization, and sales
and operations planning.
1. Demand Planning
Oracle Logistics Cloud: A comprehensive
suite for logistics optimization, aiming to
reduce costs, enhance efficiency, and ensure
global trade compliance.
5. Transportation Management
Blue Yonder (formerly JDA) Transportation
Management: Provides strategies for inbound
and outbound logistics, with a focus on cost
reduction and improved global service levels.
8. Freight Audit & Payment
Coupa LLamasoft Supply Chain Guru:
Specializes in advanced analytics, modeling,
and simulation to maximize efficiency in
logistics and supply chain operations.
2. Supply Planning
3. Inventory Optimization
4. Sales & Operations Planning (S&OP)
6. Global Trade Management (GTM)
7. Multi-modal Transport Strategies
9. Advanced Analytics
10. Modeling & Simulation
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8.

Criteria
Our Product
SAP IBP
Oracle Logistics
Cloud
Blue Yonder TMS
Coupa LLamasoft
Demand Planning
Yes
Yes
Yes (as part of
SCM Cloud)
No
Yes
Supply Planning
Yes
Yes
Yes (as part of
SCM Cloud)
No
Yes
Inventory Optimization Yes
Yes
Yes (as part of
SCM Cloud)
Yes, with Luminate Yes
Platform
Sales & Operations
Planning
Yes
Yes
Yes (as part of
SCM Cloud)
Yes, with Luminate Yes
Platform
Transportation
Management
Yes
No
Yes
Yes
Global Trade
Management
Yes
No
Yes
Yes, via extensions No
Multi-modal Transport
Strategies
Yes
No
Yes
Yes
No
Freight Audit &
Payment
Yes
No
Yes
Yes
No
Advanced Analytics
Yes
Yes, with SAP
Analytics Cloud
Yes
Yes
Yes
Yes
No
Yes
Yes
Modeling & Simulation Yes
No
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9.

Conclusion
This research area delves into the integration of cutting-edge
technologies to optimize logistics and supply chain processes, enhance
customer satisfaction, and improve operational efficiency. It addresses
critical inefficiencies in current logistics platforms, exploring the
potential of technology, including real-time tracking and blockchain, to
revolutionize customer experiences. By investigating factors like user
interface design, cost-benefit analyses, scalability, and environmental
considerations, the aim is to reshape the logistics industry. The project's
goal is to create an advanced logistics platform that prioritizes efficiency,
customer satisfaction, and competitiveness by addressing industry gaps,
leveraging emerging technologies, and emphasizing economic benefits.
Well-defined tasks in theory and practice, along with thorough data
collection and documentation, drive this project. The research draws
from an extensive literature review highlighting the importance of
standardization and interoperability in logistics platforms, and a
comparative analysis reaffirms the chosen product's robustness. In