INDUSTRY WATCH
In sectors like engineering and construction, it’ s standard practice for many people to work on the same plant design project. Manually sharing updates and iterations between offices can drive up hardware costs and inefficiencies, leading to errors and miscommunication. A flexible, cloud-based engineering collaboration platform addresses these issues, as Tecnicas Reunidas discovered.
Since the Spain-based engineering, procurement and construction, EPC company onboarded a new hybrid cloud intelligence platform, remote teams can now build and work on the same 3D models wherever they are. Network-wide collaboration is up and costs are down.
Set-up time on projects has been crunched from weeks to less than 30 minutes, and costs of maintaining the firm’ s 1,000 desktops and servers has dropped 40 %.
Delivering frictionless customer experience through AI
With customers interacting with brands across multiple channels and platforms more than ever before, delivering a seamless experience has grown challenging. The crucial element in achieving this synchronisation? Artificial Intelligence, AI.
Gartner predicts that by 2025, 80 % of customer service and support organisations will be applying Generative AI technology in some form to improve agent productivity and customer experience, CX.
Yogin Patel, VP Product Engineering, Sprinklr
Efficiency improvements can also improve sustainability profiles. Infusing industrial data with AI can optimize transportation routes, identify opportunities to reuse waste, and even spotlight where to reduce greenhouse gas, GHG emissions. With such insights, operators can make better commercial and sustainability decisions.
In practical terms, as the CSL Group knows, AI-driven insights can help teams achieve significant outcomes, such as saving up to 5 % in fuel use, enough to power 210 cars for a year. CSL, a global leader in highefficiency transshipment solutions, onboarded a cloudbased data management platform to navigate complex regulations and manual systems across multiple international markets.
By harnessing the power of Generative AI and Machine Learning, AI can sift through vast amounts of customer data across various touchpoints, manage personalised customer interactions, and harmonise the overall experience.
AI transcends mere task automation; it delves into understanding the customer on a profound level. Through sentiment and intent analysis, AI can track customer interactions, and predict satisfaction levels across social media, reviews, chat, voice support, and discern their emotions, preferences, and pain points.
Some platforms leverage AI to refine their recommendations based on browsing behaviour, purchase history, and even sentiments expressed in reviews. This approach ensures that customers receive pertinent and timely personalised suggestions, irrespective of their interaction channel with the brand.
By empowering teams with streamlined data collection, access, analysis and reporting, CSL was able to avoid asset failure, automate reporting, reduce anomalies, and realise 120 MT of CO 2 savings per vessel per year on just eight vessels.
Decades ago, the Nobel-winning scientists Hinton and Hopfield may not have predicted how their breakthroughs would augment our workplace toolboxes and radically transform the way we cooperate.
As we have seen, the advantages of digital collaboration extend across the value chain, from design and engineering to mitigating GHG emissions.
AI-powered Customer Experience Management, CXM platforms excel in devising personalised journeys for each customer across channels. AI addresses this scalability hurdle by automating data analysis and interaction processes that would overwhelm human capacity.
While AI offers vast potential in enhancing customer experiences, it raises critical ethical concerns, with data privacy at the forefront. Firms must guarantee that their AI systems are transparent, accountable, and prioritise customer data security.
In an omnichannel environment where customer devotion hinges on frictionless interactions, businesses embracing AI stand to elevate CX and position themselves as frontrunners in the dynamic digital realm.
Recent studies demonstrate the benefits of such an ecosystem approach. The majority, 86 % of executives believe that ecosystems will be a critical success factor in their industry, data from EY shows. About 57 % also see a lack of ecosystems in their company’ s strategy as a serious competitive disadvantage.
Collaborative ecosystems enable stakeholders to share insights, removing silos and driving smarter decisions along the value chain. The results? Higher value and sustainability gains, as Tecnicas Reunidas and the CSL Group know. The future of industry, much like prize-winning research, lies in harnessing radical collaboration to drive innovation and adaptability. p
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