They will have a hard time finding the answer

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limited to smart factories! If you bring together data fromyour users' connected devices in a unified interface , your agents will be ableto see the resolution maneuvers that customers have already followed: thisavoids doing the same thing again and speeds up remote troubleshooting. Thanksto Zendesk, tire manufacturer SMC was able to optimize its efficiency andquality of service on the production line, but also beyond by bringing togethercustomer data in a unified view. This allows agents to process and invoiceorders more quickly: this accelerated management delights customers and ensuresfaster cash flow. 3. Self-service automation When the focus is on factoryefficiency, customer experience can take a back seat. Many manufacturers stillmanage the

order book and customer complaints by hand, sometimes evenwith a pen in a paper cash Chinese Malaysia Phone Number List  book or in a computer spreadsheet. These outdatedprocedures slow down automation and increase the risk of error. This alsocomplicates the task of agents, who have more difficulty finding an order inthe batch when a customer asks a question about its progress or its shippingdate. Worse still, some orders and complaints may simply go unnoticed. Withoutconnected data, it is also impossible to offer self-service help to yourcustomers.  on their own, which isfrustrating for everyone. By moving away from manual processes to an AI-poweredself-service help portal, you can increase efficiency and boost customer

satisfaction. Using forms that support photo import, yourdepartment will be able to collect all the useful information on each requestand automatically trigger the order or complaint process on the back-end. Youragents will also be less busy, because customers will be able to find answersto frequently asked questions themselves in one click: an essential efficiencygain to increase CX capabilities, strengthen loyalty and ensure long-termgrowth. 4. AI-powered knowledge management Man using power tool on car Customer-facingteams often have to comb through a mountain of instructions before finding theright information about parts and machines: this goes for agents who respond toemails and field technicians. In this case, your urgent customers