CILT - AI in the Supply Chain Survey 2023
Welcome to our Survey
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Welcome to our survey.
In an ever changing and challenging world, modernisation and simplification is on the agenda for the majority of those involved in Supply chain.
Technology is key to this and Artificial Intelligence, in its current form, is being used increasingly.
Through collaboration with
InstaDeep Ltd
,
The Chartered Institute of Logistics and Transport (CILT)
have created a snapshot survey on AI in the Supply Chain, the advantages of this, the disadvantages and other thoughts from the industry.
We aim to gauge the opinions of industry members on what AI means to them and their Supply Chain.
The findings from this survey will be shared at a meeting scheduled for April 2023. The date will be announced shortly and participants will be invited to attend, discuss the results and network with delegates.
The deadline for completion is Wednesday 1st March 2023.
Please click below to begin.
1
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68055
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True
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1. Name
Label
68056
1
True
0
2. Job title
Label
68057
1
True
0
3. Company Name
Label
68058
1
True
0
4. Email Address
Label
68059
7
True
0
5. What is your main industry sector? (please select)
Manufacturer
Retailer
Haulier
3PL Operator
Ports / Maritime
Other (please detail below)
5
Label
68060
7
True
0
6. What is your company's annual turnover?
Up to £2m
£2m - £5m
£5m - £15m
£15m - £50m
Over £50m
Prefer not to say
Label
68061
8
True
0
7. What are your thoughts on AI technology? (tick all that apply)
It is replacing human skills
It is complementing human skills
It is outperforming human skills
It is helping to improve efficiency
It is helping to improve customer service
It is helping to improve staff productivity
It is a critical business enabler
Helping with decarbonisation targets and emission reduction
It is overhyped and under-delivering
It requires a large upfront investment but is delivering limited ROI
Having the right solution is essential to remain competitive
Investing in AI carries a great deal of risk and uncertainty
Not investing in AI will having a negative impact on our future success
The right AI solutions are an essential part of our digital transformation program
I think it is the technology of our time. Used correctly it will help to make the world a better place
I have no strong opinions on it / it doesn't affect me
I understand a little but would like to understand its practical application more
I am not interested in AI
Other (please detail below)
18
Label
68062
6
True
0
8. Do you currently have any form of AI within your business?
Yes
No
Label
68063
7
True
0
9. If you answered "NO" to Question 8, do you plan to incorporate any form of AI into your business over any of the following time periods? (Choose one)
During the next year
1-2 years
Over 2 years
No plans
Label
68064
11
True
10. If you answered "YES" to Question 8, please indicate to what extent your organisation uses AI technology for the following applications?
Extensively
Limited
Planning
No
yes but non-AI
Not applicable
Label
93989
Cargo Load Planning Optimisation
Label
93990
Digital Twinning / Simulation
Label
93991
Route optimisation / route planning
Label
93992
Predictive Equipment Maintenance
Label
93993
Data Analytics
Label
93994
Resource optimisation for staff scheduling
Label
93995
Resource optimisation (non-human)
Label
93996
Demand Prediction
Label
93997
Inventory management and tracking
Label
93998
Asset management and tracking
Label
94011
Pricing
Label
94012
General Forecasting / Planning
Label
68065
8
True
0
11. Which of the following areas do you think AI can make an impact in your organisation? (Tick all that apply)
Creating new business models
Hardware predictive maintenance
Operational efficiencies
Sustainability and decarbonisation
Optimal Load Planning
Dynamic route planning
Forecasting and supply chain planning
Robotics
Autonomous vehicles
Greater supply chain visibility
Greater data integration for real-time decision making
Other (please detail below)
11
Label
68066
8
True
0
12. If you are not currently using AI, do you believe any of the following factors are preventing AI adoption in your organisation? (Tick all that apply)
Cost vs ROI
Complexity
Lack of in-house knowledge / expertise
Resistance to change / lack of buy-in
Data privacy and cybersecurity challenges
Other business priorities that AI cannot help with
Don't know where to find the right AI expertise
Other (please detail below)
7
Label
68067
5
True
13. What do you see as your organisation's top 5 priorities over the next 2-3 years? (Please rank from 1 to 5)
94001
Decarbonisation / emissions reduction to net zero
Label
94013
Customer service and experience
Label
94014
Being innovative to stay competitive
Label
94015
Staff acquisition and retention
Label
94016
Staff training and right-skilling
Label
94017
Customer acquisition and retention
Label
94018
Efficiency
Label
94019
Future proofing
Label
94020
New products and services
Label
94021
New markets
Label
94022
Maintain market share
Label
94023
Increase market share
Label
68077
1
True
0
14. Please indicate any other priorities that your organisation has over the next 5 years.
Label
68068
1
True
0
15. What percentage (%) of your customer deliveries are made within the correct time window? (Total number of customer deliveries made within the correct delivery window (+/- 1 hour or less) / Total number of customer deliveries) x 100
Label
68069
1
True
0
16. What is the average turnaround time (mins) per delivery? (Difference between arrival and departure time (mins) of all outbound vehicles / total number of outbound vehicles)
Label
68070
1
True
0
17. Can you explain your approach to assigning personnel to shifts?
Label
68071
8
True
0
18. How do you monitor your resource management?
Resource forecasting
Resource allocation
Resource levelling (assessing skills)
Resource utilisation
Combination of the above
Label
68078
1
True
0
19. Could you explain your current approach to planning your cargo loads (eg manual, in-house software, 3rd party software)?
Label
68072
1
True
0
20. If you plan vehicle loading manually, how long does it take to plan per vehicle (as an average)?
Label
68073
1
True
0
21. What is the % fill of your vehicle fleet? (Total number of units delivered (cages/pallets etc) / total capacity of the the vehicle fleet (cages/pallets etc))x 100
Label
68074
1
True
0
22. What is the % of empty run time of the vehicle fleet? (Empty miles / total miles of vehicle fleet) x 100
Label
68079
6
True
0
23. Do you currently capture piece-level data of your packages (eg dimensions, weight, other constraints)?
Yes
No
Label
68080
1
True
0
24. What type of constraints does your cargo typically have (eg weight, load balancing, fragile, dangerous, medical)?
Label
68075
6
True
0
25. Would you be interested in attending the AI survey report meeting, to hear about and discuss the results of this report and network with fellow organisations?
Yes
No
Label
Thank you for completing our survey.
We will be in touch once the report is ready.
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