Is your organisation leveraging generative AI for supply chain management?
Among those not currently using generative AI, a significant proportion (57%) plan to implement it or are considering implementation in the next two years, reflecting the perceived potential of AI to transform supply chain operations. Where is your business on the pie chart?
Agility with Generative AI
Businesses are implementing machine learning and optimisation most frequently in inventory optimisation (45%) and demand forecasting (40%), underlining the critical role of these technologies in managing inventory levels and accurately predicting future demand. Where is your business on this chart?
Where along the value chain are businesses implementing machine learning or optimisation?
Agility with Machine Learning
45%
ML-driven inventory optimisation
40%
ML-driven demand forecasting
40%
Automated production scheduling
39%
Automated replenishment scheduling
39%
ML-driven price optimisation
39%
ML-driven predictive maintenance
37%
ML-driven cashflow forecasting
35%
Automated route selection
34%
ML-driven emissions forecasting
32%
Automated cross-/up-sell opportunity identification
30%
ML-driven ETA prediction
27%
Disruption/delay resolution suggestions
29%
Network design suggestions
1%
Somewhere else
According to the businesses surveyed, the greatest hope for the impact of automation technologies lies in increased efficiency and productivity (32%), cost savings (26%), and improved supply chain automation (23%). This reflects a strong belief in the potential of these technologies to drive significant improvements in supply chain management. Which of these outcomes is most important for your business?
What is your greatest hope for the impact of automation technologies (Generative AI and ML)
on your industry in the next three years?
Agility with Automation Technologies Around the Globe
When workers are empowered to spend more time innovating—what humans do best—that’s where the real value creation happens. That is agility.
Vaibhav Vohra | Chief Product and Technology Officer, Epicor
“
”
Probably yes
44%
not sure
21%
Probably not
15%
definitely yes
13%
definitely not
6%
23%
23%
26%
26%
24%
24%
23%
23%
24%
24%
17%
19%
29%
29%
34%
33%
Improved supply chain automation
Enhanced innovation and product development
Increased efficiency and productivity
Cost savings and reduced operational expenses
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ALL
USA
ALL
USA
UKI
APAC
All
USA
UKI
APAC