AI leaves majority of supply chain decision-makers frustrated during COVID-19
New research by Secondmind has revealed that 82% of supply chain decision-makers have felt left frustrated by AI-powered systems and tools during the COVID-19 crisis.
The data comes from a survey commissioned by independent global research firm Censuswide, who questioned over 500 supply chain planners and managers across Europe and the USA from August-September 2020. The main aim of the research was to find out how AI was helping or hindering their decision-making.
The results, released in a new report, show that despite the frustration, belief in AI’s potential is strong – 90% agree that AI-powered tools and software will help them make better decisions by 2025 and over half (59%) strongly agree that AI will transform supply chains for the better in the next five years.
The obstacles to fulfilling AI’s potential
The managers surveyed cited a number of factors hindering the ability of AI systems to deliver value, all of which fell into two categories:
- Data: a lack of reliable data to feed into AI systems (37%), historic data becoming ‘meaningless’ in times of unprecedented change (19%) and the need to spend significantly more time on manually analysing and interpreting data (50%) were all concerns at a time when accuracy and speed were of the essence.
- Organisational: a third of respondents (34%) said their leadership teams lack understanding of what is currently needed on the ground to make faster, data-driven decisions. Furthermore, rigid processes and internal structures prevented over two in five planners and managers from quickly responding to changing market conditions (41%).
A longer road to resilience
The supply chain planners and managers surveyed say that a third of their time (on average 2.83 hours daily) is spent on manual tasks that could easily be automated. As frustrations with current AI systems emerged during the pandemic, exactly half said they spent significantly more time manually analysing and interpreting data to assist strategic and operational decisions.
The decision-makers surveyed stated these data pain points are holding them back from working on higher value initiatives that could contribute towards building more resilient supply chains. This includes the following initiatives:
- Proactively preparing scenarios and plans for future unexpected ‘black swan’ events (30%)
- Spending more time on proactive and in-depth planning for major events such as Christmas and Black Friday (41%)
- Conducting more in-depth analysis, using their experience and expertise (51%)
Managers want more help in decision-making processes
The majority of managers who use AI systems want their domain expertise to factor into the decision-making process. Desirable capabilities for AI systems included: the ability to modify AI-generated forecasts using the decision-maker’s own judgement ( 53%), AI that can learn from humans when historic data is unreliable (47%) and AI that could show what data or contextual information that impacted a forecast (39%).
Of those who believed AI alone was not enough to inform effective decision-making, the reasons cited were that human intuition cannot be replicated by a machine (62%), there will always be some events that a machine can’t predict (59%) and expertise developed from years on the job is critical in decision-making (51%).
Vishal Chatrath, CEO and Co-Founder of Secondmind, says the the report shows to what extent people can benefit from AI, but also how much AI requires people:
COVID-19 has been a wake-up call for businesses operating in global supply chains as they prepare to rapidly accelerate the implementation and deployment of AI in the coming years. For AI to realise its potential, it will be critical for organisations to deploy systems that can cope with sparse or incomplete data environments and promote the effective collaboration between people and AI.
Our report shows how much people benefit from AI, but also how much AI needs people. A collaborative approach to decision-making that combines the right skills and capabilities for each task is essential, particularly when systems are disrupted during uncertain times and unpredictable events.”
Photo credit @ Pixabay