💡According to recent research by Forbes, the combination of big data and AI can automate nearly 80% of physical labour, 70% of data processing and 64% of data collection tasks. AI can analyse data to perform pattern creation or classification processes over time. ➡️These are the benefits of combining AI with big data in pricing: 🔹Optimisation: Helps make production and decision-making processes faster, more accurate and more reliable. 🔹Efficiency: Reduces time spent on data analysis processes. 🔹Better prediction: Artificial intelligence applied to big data has the potential to predict future data sets by recognising patterns and determining the impact of trends in results. #eCommerce #DynamicPricing #BigData #AI
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🛠️ ️Struggling with data quality in your AI initiatives? You’re not alone – one RELEX Solutions survey showed that 56% of respondents ranked data quality as the biggest challenge in implementing AI in retail and supply chain management. But there’s a solution: AI can do more than analyze data; it can actively improve it. From reducing anomalies to uncovering demand signals, AI tools are turning data challenges into competitive advantages. Check out this blog by Laurence Brenig-Jones to discover how to make data work for you. Turn AI into a dynamic part of your strategy, and start seeing real ROI in your supply chain! 🌐 🔗 https://lnkd.in/gFnZkpKS #AI #Data #QualityData #SupplyChain #RetailTech
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🛠️ ️Struggling with data quality in your AI initiatives? You’re not alone – one RELEX Solutions survey showed that 56% of respondents ranked data quality as the biggest challenge in implementing AI in retail and supply chain management. But there’s a solution: AI can do more than analyze data; it can actively improve it. From reducing anomalies to uncovering demand signals, AI tools are turning data challenges into competitive advantages. Check out this blog by Laurence Brenig-Jones to discover how to make data work for you. Turn AI into a dynamic part of your strategy, and start seeing real ROI in your supply chain! 🌐 🔗 https://lnkd.in/diurAQrC #AI #Data #QualityData #SupplyChain #RetailTech
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🛠️ ️AI can be a struggle! Data is key! Struggling with data quality in your AI initiatives? You’re not alone – one RELEX Solutions survey showed that 56% of respondents ranked data quality as the biggest challenge in implementing AI in retail and supply chain management. But there’s a solution: AI can do more than analyze data; it can actively improve it. From reducing anomalies to uncovering demand signals, AI tools are turning data challenges into competitive advantages. Check out this blog by Laurence Brenig-Jones to discover how to make data work for you. Turn AI into a dynamic part of your strategy, and start seeing real ROI in your supply chain! 🌐 🔗 https://lnkd.in/dHskZHiD #AI #Data #QualityData #SupplyChain #RetailTech
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🛠️ ️Struggling with data quality in your AI initiatives? You’re not alone – one RELEX Solutions survey showed that 56% of respondents ranked data quality as the biggest challenge in implementing AI in retail and supply chain management. But there’s a solution: AI can do more than analyze data; it can actively improve it. From reducing anomalies to uncovering demand signals, AI tools are turning data challenges into competitive advantages. Check out this blog by Laurence Brenig-Jones to discover how to make data work for you. Turn AI into a dynamic part of your strategy, and start seeing real ROI in your supply chain! 🌐 🔗 https://lnkd.in/err2yFSm #AI #Data #QualityData #SupplyChain #RetailTech
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E-commerce returns significantly impact operational costs, but AI offers a transformative solution. Through enhanced data analytics and machine learning, AI can reduce the frequency of returns and improve inventory management. This results in a more resilient and adaptable business model. #MachineLearning #DataAnalytics #EcommerceEfficiency #AI
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🛠️ ️Struggling with data quality in your AI initiatives? You’re not alone – one RELEX Solutions survey showed that 56% of respondents ranked data quality as the biggest challenge in implementing AI in retail and supply chain management. But there’s a solution: AI can do more than analyze data; it can actively improve it. From reducing anomalies to uncovering demand signals, AI tools are turning data challenges into competitive advantages. Check out this blog by Laurence Brenig-Jones to discover how to make data work for you. Turn AI into a dynamic part of your strategy, and start seeing real ROI in your supply chain! 🌐 🔗 https://lnkd.in/ekgSSWar #AI #Data #QualityData #SupplyChain #RetailTech
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🛠️ ️Struggling with data quality in your AI initiatives? You’re not alone – one RELEX Solutions survey showed that 56% of respondents ranked data quality as the biggest challenge in implementing AI in retail and supply chain management. But there’s a solution: AI can do more than analyze data; it can actively improve it. From reducing anomalies to uncovering demand signals, AI tools are turning data challenges into competitive advantages. Check out this blog by Laurence Brenig-Jones to discover how to make data work for you. Turn AI into a dynamic part of your strategy, and start seeing real ROI in your supply chain! 🌐 🔗 https://lnkd.in/ebYifSEJ #AI #Data #QualityData #SupplyChain #RetailTech
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According to IDC (International Data Corporation), the global data sphere is expected to reach 175 zettabytes by 2025. Most of this data is unstructured, and a significant portion remains non-vectorized. AI systems can vectorize data without human intervention, particularly through automated processes and machine learning models designed for data preprocessing. Once data is vectorized, AI can able to process some or most of human tasks. This will be fast and it's coming. #ai #automation #automationbusiness #business
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🛠️ ️Struggling with data quality in your AI initiatives? You’re not alone – one RELEX Solutions survey showed that 56% of respondents ranked data quality as the biggest challenge in implementing AI in retail and supply chain management. But there’s a solution: AI can do more than analyze data; it can actively improve it. From reducing anomalies to uncovering demand signals, AI tools are turning data challenges into competitive advantages. Check out this blog by Laurence Brenig-Jones to discover how to make data work for you. Turn AI into a dynamic part of your strategy, and start seeing real ROI in your supply chain! 🌐 🔗 https://lnkd.in/e7tAM7ru #AI #Data #QualityData #SupplyChain #RetailTech
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🛠️ ️Struggling with data quality in your AI initiatives? You’re not alone – one RELEX Solutions survey showed that 56% of respondents ranked data quality as the biggest challenge in implementing AI in retail and supply chain management. But there’s a solution: AI can do more than analyze data; it can actively improve it. From reducing anomalies to uncovering demand signals, AI tools are turning data challenges into competitive advantages. Check out this blog by Laurence Brenig-Jones to discover how to make data work for you. Turn AI into a dynamic part of your strategy, and start seeing real ROI in your supply chain! 🌐 🔗 https://lnkd.in/gjdv6hW5 #AI #Data #QualityData #SupplyChain #RetailTech
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