Clothing Retailer Use Case (Retail) - Dubber Call Recording

Profile

Cleo runs a clothing store, and has recently opened a second location, that stocks ready to wear options as well as made to order. She has four full-time staff members between both stores and a few casuals to cover busy times. She takes inquiries and orders over the phone and online every day and likes to take a personal approach with her customers.

Challenges

Writing accurate notes can be difficult when capturing customer orders over the phone. When Cleo is out, her staff take as many details as they can about each customer’s order or inquiry. As an owner-operator, Cleo has some challenges:

Running two stores leaves her time poor with long days

Staff are sometimes unsure whether stock orders have been placed

She has to balance her time on the shop floor with admin tasks

Customer orders are missed, resulting in a poor customer experience and lost sales

Solution

With call recording and voice AI, Cleo can:

Be notified of calls with negative sentiment

Confirm customer order details

Verify that deliveries from suppliers match orders

Confirm phone orders with suppliers were placed

Conclusion

With a cost-effective and secure call capture solution available via a SaaS model, clothing retailers have the reassurance that they have accurate and secure records of customer conversations. Recording calls helps to ensure quality customer service, with a quick replay confirming details and saving time that might be spent making follow-up calls. Additionally, voice AI can transcribe calls, analyze content and rate caller sentiment: providing greater insight into customer interactions. Keywords can be tracked to monitor which products and fabrics should be ordered to stay ahead of customer demand.

Keywords can be tracked to monitor which products and fabrics should be ordered to stay ahead of customer demand.

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Dubber has a wide cross section of compliance and security features designed to give you peace of mind. To view Dubber's entire call recording feature suite, visit our Feature Page.

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