The document summarizes the findings of a market research study on logistics planning solutions. It reports that logistics decision makers are looking to upgrade their current solutions within 2 years to incorporate more innovative features like AI-enabled insights. Real-time data consolidation and visibility are the most desired features. Logistics leaders see AI/ML as the most important disruptive technology for enabling cost reductions and improved availability. While well-known solutions are still used, lesser-known solutions featuring innovative technologies are also gaining traction.

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2. Copyright © 2023 AGVA. All rightsreserved.
Executive Summary
Leveraging our Customer Connect Initiative, tech companies can generate
leads by showcasing how their solutions can solve logistics planning
challenges identified by the Logitics leaders in the report.
Logistics decision makers plan to upgrade in <2 years to an innovative Logistics
planning solutions having AI/ML features
Newer/lesser-known Logistics planning solutions are being used in the industry
Most desired features include real time insights, live network optimization & data
consolidation across systems
Key Insights from 300+ Logistics Decision makers & Market Research
1

3. Section – 1
Key Insights from Industry
Section showcases Logistics decision makers
insights on planning solutions

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Key takeaways:
✓ Industry Logistics decision makers are
constantly challenged by
▪ Efficiency issues
▪ OTIF(On Time In Full) & product availability
▪ Real time visibility
▪ 3PL issues & cost
✓ These challenges are driving the transition from
spreadsheets & existing solutions to innovative
solutions.
✓ Leaders desire solutions that provide:
▪ AI led predictive insights
▪ Collation of data across multiple systems
to have single version of truth
Logistics leaders are looking for innovative solutions
Share of Logistics leaders looking for
innovative Logistics Planning solutions (%)
25%
29%
46%
No
Not Sure
Yes
2

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Data consolidation & real-time insights are most desirable features
Key takeaways:
✓ Single version of truth is possible when data
is available in real time from multiple systems
✓ Absence of real time insights from the system
leave it to only manager’s ability to take
decision
✓ Tech enabled end to end collaboration will make
logistics more efficient and responsive
✓ Live network optimization can manage
disruptions/ shortages on the go
✓ Real time visibility can uncover misrouting and
delay, prevent theft and abuse of high value
assets
22%
29%
30%
43%
64%
65%
Flexibility
Lack of visibility in
logistics
No live network
optimization
Lack of end to end
collaboration
Absence of real time
insights
Consolidation of data
(multiple systems)
5
Proportion of leaders that consider a feature
essential in logistics planning solutions

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Logistics leaders find AI/ ML as the most important disruptive technology
21%
21%
54%
IOT
Blockchain
AI/ML
Key takeaways:
✓ AI/ ML, considered as the most important
disruptive tech for
▪ Lower freight cost: Optimum route, delivery
time selection & higher asset utilization
▪ Reduced overheads: Warehousing,
inventory holding & manpower optimization
▪ Higher product availability: Reliable
forecasting capabilities, predictive alerts
✓ Blockchain benefits include transparency,
traceability & Smart contracts
✓ IOT is a key enabler for live tracking of goods
and real time network optimisation
3
Share of leaders who consider the given
Disruptive technology as most important for
logistics planning solutions (%)

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Logistics leaders intend to upgrade their planning solutions in~2 years
46%
54%
>2 years
0-2 years
Key takeaways:
✓ Logistics decision makers evaluate various
solutions before upgrading their planning
solutions. Key decision-making criteria include:
▪ Impact on cost
▪ Enhanced visibility
▪ Innovative features
▪ Compatibility with existing processes/
solutions
✓ Apart from the features, leaders prefer solution
providers that excel in training & change
management support during the upgradation
process.
✓ Timely upgradation of logistics planning
solutions is considered essential by leaders for
efficiency improvement, higher visibility &
competitive advantage across industries
4
Share of leaders looking to upgrade logistics
planning solutions based on timeline (%)

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Lesser-known logistics planning solutions are gaining traction
Key takeaways:
✓ Logistics decision makers are also using
lesser-known solutions in their organisations
owing to their innovative features.
✓ Adoption of innovative features e.g. AI/ML
based planning, insights & data enrichment has
been faster by the lesser-known solutions.
These features can help in:
▪ Dynamic planning
▪ Superior decision making
✓ Leaders need to evaluate both newer as well
as well-known solutions while selecting a
Logistics planning solution. POC (proof of
concept) can be a confidence building measure
for lesser-known solutions.
44%
30%
26%
Well-Known Solutions
Spreadsheet
Lesser-Known
Solutions
6
Share of leaders using logistics planning tool
categories (%)

9. Section – 2
Solution Mapping
Section showcases mapping of each solution**
with Logistics planning challenges
Suggestion for solution providers:
In the section “How can your solution solve this challenge?”
It will be good to mention at least one feature of your solution/ one
disruptive technology being used in your solution which can solve
this challenge.
**Alden reserves the right to edit the solution description/ content if word limit
is not adhered, clarity of content for the reader is low or any other reason
deemed suitable. Design & flow of the slides can also be changed for the
aesthetics or to enhance reading outcome.

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Logistics Planning- Key Challenges Identified by Industry
Key insights:
✓ Absence of timely real time insights hampers data-
driven decisions, impedes effective planning and
reduces operational efficiency.
✓ Lack of collaboration across Supply Chain,
Production, Logistics & vendors for planning cause a
challenge that the single version of updated data
is not available.
✓ Logistics is a dynamic process and scenarios keeps
on changing. Hence it is important to have live
network optimisation.
✓ Low visibility causes poor decision making.
✓ Flexibility is important in logistics due to continuously
changing scenarios
22%
29%
30%
43%
64%
Flexibility
Lack of visibility
in logistics
No live network
optimization
Lack of end to
end collaboration
Absence of real
time insights
Proportion of leaders that consider the given
challenge is a key challenge in logistics
planning
7

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Logistics Planning Solutions Research-Solution mapping
Customer connect initiative
Company Name:
About Solution: (50 words)
Challenge of Logistics planning How can your solution solve this challenge? (20 words max for each)
Lack of visibility in logistics
No live network optimization
Lack of end-to-end collaboration
Absence of real time insights
Consolidation of data (multiple
systems)
Flexibility
8

12. Section – 3
Approach
Section showcases Alden’s approach for this
research report

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Logistics Planning Solutions Research- Approach
Research approach:
✓ A comprehensive market research of Logistics
planning solutions available in India and being
used across industries was conducted. It included
solutions both developed by Indian or Global
technology companies.
✓ A survey was conducted with 300+ Logistics
Decision makers from different industries to
identify top planning challenges, requirement
from the potential logistics planning system in
terms of features and disruptive technologies.
Share of leaders industry wise (%) who
participated in our survey
6%
9%
19%
20%
22%
24%
Others
Ecom
Manufacturing
Auto & Ancillaries
Pharma & Healthcare
FMCG, Durables &
Retail
9

14. Research Practice
Unlocking Value for Your Solutions!

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