
Digital transformation and IR4.0 initiatives are the driving force behind many of the data-driven aspirations of today’s organisations. Nevertheless, no matter how technologically advanced a company may become, one truth remains, they must always be prepared for the unexpected and have appropriate contingencies well in place.
If there is one thing the COVID-19 pandemic has taught us, it is the importance of having business continuity plans for when disaster does strike. This includes having the right technologies for remote working as well as having complete visibility into the supply chain to ensure maximum productivity and mitigate disruptions.
For businesses looking to achieve their IR4.0 objectives, automation is a key enabler. Being able to automate almost every process in an industry is indeed a dream come true for any organisation. Today, it is no longer just a dream because there are technologies available to make it possible. Not only can enterprises save on employee wages, but they can also ensure production runs 24/7 with minimal disruption. They can even foresee issues that may cause downtime well in advanced and take preventative measures.
Modern supply chains need to leverage as much data and automation as possible. Businesses need to be able to not only have insights into the supply chain but also be able to meet the growing demands of their customers. Artificial Intelligence (AI) is the catalyst which enables many of these advancements. It is changing the supply chain landscape for organisations around the world.
The findings of a market research report by Meticulous research stated that the AI in the manufacturing market is expected to grow at a CAGR of 39.7% from 2019 to 2027 to reach $27 billion by 2027. “Organisations are aggressively adopting AI-based solutions and services to reshape their business operations and increase profitability. The adoption of AI technologies in the manufacturing industry is on the rise to create new opportunities and enhance operational capabilities by leveraging new technologies, fastening processes and making organisations adaptable to changes in the future”, the report said.
So how can businesses make the best use of AI in the supply chain?
AI-powered machine learning solutions are able to provide organisations with the analysis needed to make the right decisions at the right time. This includes the capabilities of understanding changing consumer behaviour as well as optimising inventory levels and replenishment plans to avoid any disruption to the supply chain.
Business can also apply AI into sales and operations planning including supply chain data pools to manage demand volatility, supply constraints, production scheduling and dynamic distribution. With its abilities to augment human interaction, AI can also be used for allocating resources, assigning people and scheduling processes.
For enhanced visibility, businesses can rely on machine learning capabilities that apply algorithms to massive operational data feeds to discover insights to track and predict supply chain disruptions. These capabilities can also recommend alternative actions for unplanned events and transportation disruptions.
IBM is able to help organisations use AI to automate their supply chain in their journey towards IR4.0. With IBM, businesses can evolve their supply chain processes into intelligent workflows, to reach new levels of responsiveness and innovation. Not only will they be able to challenge siloed processes to uncover efficiencies, but businesses will also enable their teams to execute and deliver more efficiently as well as unlock opportunities in every step of the value chain.
For more information on how IBM can assist your organisation, click here.


Archive
- October 2024(44)
- September 2024(94)
- August 2024(100)
- July 2024(99)
- June 2024(126)
- May 2024(155)
- April 2024(123)
- March 2024(112)
- February 2024(109)
- January 2024(95)
- December 2023(56)
- November 2023(86)
- October 2023(97)
- September 2023(89)
- August 2023(101)
- July 2023(104)
- June 2023(113)
- May 2023(103)
- April 2023(93)
- March 2023(129)
- February 2023(77)
- January 2023(91)
- December 2022(90)
- November 2022(125)
- October 2022(117)
- September 2022(137)
- August 2022(119)
- July 2022(99)
- June 2022(128)
- May 2022(112)
- April 2022(108)
- March 2022(121)
- February 2022(93)
- January 2022(110)
- December 2021(92)
- November 2021(107)
- October 2021(101)
- September 2021(81)
- August 2021(74)
- July 2021(78)
- June 2021(92)
- May 2021(67)
- April 2021(79)
- March 2021(79)
- February 2021(58)
- January 2021(55)
- December 2020(56)
- November 2020(59)
- October 2020(78)
- September 2020(72)
- August 2020(64)
- July 2020(71)
- June 2020(74)
- May 2020(50)
- April 2020(71)
- March 2020(71)
- February 2020(58)
- January 2020(62)
- December 2019(57)
- November 2019(64)
- October 2019(25)
- September 2019(24)
- August 2019(14)
- July 2019(23)
- June 2019(54)
- May 2019(82)
- April 2019(76)
- March 2019(71)
- February 2019(67)
- January 2019(75)
- December 2018(44)
- November 2018(47)
- October 2018(74)
- September 2018(54)
- August 2018(61)
- July 2018(72)
- June 2018(62)
- May 2018(62)
- April 2018(73)
- March 2018(76)
- February 2018(8)
- January 2018(7)
- December 2017(6)
- November 2017(8)
- October 2017(3)
- September 2017(4)
- August 2017(4)
- July 2017(2)
- June 2017(5)
- May 2017(6)
- April 2017(11)
- March 2017(8)
- February 2017(16)
- January 2017(10)
- December 2016(12)
- November 2016(20)
- October 2016(7)
- September 2016(102)
- August 2016(168)
- July 2016(141)
- June 2016(149)
- May 2016(117)
- April 2016(59)
- March 2016(85)
- February 2016(153)
- December 2015(150)