TECH & AI analysed to take proactive actions and monitor and manage shipments to minimise the risk of delays .
“ This not only helps us in tracking KPIs for our RFQ ( Request for Quotation ) processing and productivity calculations , but also enables us to effectively track and trace shipments to ensure on-time delivery in full .
“ By harnessing this data , we can make informed decisions and optimise our operations to uphold high standards of efficiency and service delivery .”
Optimising inventory Optimisation of inventory management is one of numerous specific areas where IoT can provide a boost to everyday activities .
Schneider Electric ’ s end-to-end control tower capabilities have become a single source of truth for the organisation and are key to its supply chain and inventory optimisation . This has enabled real-time visibility for informed decision -making , automation including decision -making for transactional activities and increased execution reliability to ensure optimal quality and customer satisfaction .
“ Before the control tower was established , when our customer care centre wanted to get more information pertaining to an order or delivery , the process was to raise a ‘ customer request ’,” Stephane says . “ This was time-consuming , disconnected and manual . It wasn ’ t a great experience for our customers .
32bn
Predicted number of IoT devices worldwide by 2030 ( Statista )
“ Now , the information required is immediately at hand for our customers and customer care centre agents . Since the beginning of last year , this has helped to mitigate more than 350,000 change requests per annum being manually driven through our centres .”
Next-level predictive maintenance Stephane believes the growth of IoT offers a huge opportunity to leverage existing data for the creation of proactive predictive maintenance strategies – driving improved business results in the process .
“ Predictive asset analytics , enabled by the IIoT , is key to reducing unscheduled downtime and maintenance costs ,” Stephane notes . “ Using predictive analytics , customers are able to predict and diagnose problems before they occur .”
What ’ s more , by leveraging connected devices and sensors , organisations can proactively monitor the condition and performance of equipment in real time , assess safety risks , map premises for electrical installations , identify damaged equipment and source spare parts with a JIT ( just-in-time ) approach .
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