A PwC survey covering operations and technology leaders as well as other C-suite executives globally has identified three main roadblocks stopping them from achieving digital transformation in their supply chain operations. Credit: www.BigStock.com Attracting and retaining the right talent while getting a return on technology investment are the top three challenges that stop organizations from being able to successfully digitize their supply chain operations, according to a survey by management consulting firm PwC. In PwC’s Digital Trends in Supply Chain Survey, which polled 244 operations and information technology leaders, C-suite executives and other supply chain officers globally, almost 80% of respondents claimed that their technology investment hadn’t fully delivered expected results. “There are many reasons as to why companies don’t see a return on investment. Supply chain is a complex ecosystem consisting of stakeholders both inside and outside the organization and more often than not point solutions being implemented don’t solve the larger problem,” said Matt Comte, operations transformation leader at PwC. To make optimal decisions involving logistics, delivery and warehousing, an integrated approach that covers many different data sets and processes is required, Comte said. Attracting and retaining the right talent are also key to realizing the full potential on any technology investment made by an enterprise, Comte said. Budget constraints, turnover hinder supply chain management Almost 48% of respondents to the survey said that they were facing budget constraints driven by employee costs and more than 58% of respondents said that they were seeing higher than normal supply chain employee turnover. Only 23% fully agreed that they have the necessary digital skills to meet future goals. “Enterprises today need the best of both technical and functional talent with the addition of a sound technology platform and quality datasets to successfully digitize their supply chain operations,” Comte said. Supply chain experts need to work with CIOs or data science engineers to create AI models that provide necessary insights, he added. Finding employees with a collaborative mindset and understanding of business and technical capabilities is a major challenge, the survey found. Enterprises can meet these challenges in the short-term by making effective use of platforms offered by hyperscalers and other software vendors to ensure maximum proficiency in ingesting, analysing and modelling quality data to generate more business insights, according to Comte. Cloud, no-code can help supply chain digitization “Industry clouds in combination with data marketplaces, exchanges along with the use of low/no-code platforms can help enterprises in the short term,” Comte said. In the long term, though, these actions won’t overcome the talent challenge, and a realignment of companies’ current workforce may be needed, Comte said. “CXOs need to shift the available talent against the present problems of the organisation,” Comte said, adding that some processes and tasks can be taken over by robotic process automation (RPA) or artificial intelligence (AI), which in turn will free up employees to be trained to meet future goals. Related content feature IT leaders’ AI talent needs hinge on reskilling Most organizations see the need to revamp their training programs to address AI skills shortages — an approach that delivers intangibles hiring can’t provide. By Grant Gross May 31, 2024 7 mins Hiring Generative AI IT Skills feature Skills the Irish Government CIO uses to advance digital transformation In his eight-year tenure as CIO at Ireland’s Department of Public Expenditure and Reform, Barry Lowry always had a vision of what digital government could look like. Here, he details how an approach built on transparency and innovation is conti By Ian Campbell May 31, 2024 8 mins CIO Government IT Cloud Management brandpost Sponsored by Cisco 3 reasons you should adopt cloud monitoring Cloud network management offers increased security, operational efficiencies, and more. By D Matthew Landry May 30, 2024 4 mins Machine Learning opinion Faultless with serverless: Cloud best practices for optimized returns What does a well-defined serverless approach look like? Let's learn some of the best modern approaches to handling Enterprises and SMEs growing serverless computing needs. By Yash Mehta May 30, 2024 5 mins Serverless Computing PODCASTS VIDEOS RESOURCES EVENTS SUBSCRIBE TO OUR NEWSLETTER From our editors straight to your inbox Get started by entering your email address below. Please enter a valid email address Subscribe