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  2. Shein - Wikipedia

    en.wikipedia.org/wiki/Shein

    Shein, originally named ZZKKO, was founded in China in 2008 by entrepreneur and search engine optimization (SEO) marketing specialist Chris Xu (Xu Yangtian). [11] [5] [12] Information on Xu's educational and career background remains elusive as of 2022, with sources conflicting on details of his biography.

  3. Contact AOL customer support

    help.aol.com/articles/account-management...

    GET. Mail. Call live aol support at. 1-800-358-4860. Get live expert help with your AOL needs—from email and passwords, technical questions, mobile email and more.

  4. Teresa Giudice Speaks Out About Backlash Over SHEIN Collab ...

    www.aol.com/entertainment/teresa-giudice-speaks...

    Teresa Giudice and her daughters have received backlash over their latest SHEIN collaboration — but they’re unfazed by the negative response. “We acknowledge the concerns expressed about our ...

  5. Customer service - Wikipedia

    en.wikipedia.org/wiki/Customer_service

    Customer service is the assistance and advice provided by a company through phone, online chat, mail, and e-mail to those who buy or use its products or services. Each industry requires different levels of customer service, [1] but towards the end, the idea of a well-performed service is that of increasing revenues.

  6. Temu - Wikipedia

    en.wikipedia.org/wiki/Temu

    September 2022. Temu (/ ˈtiːmuː / ⓘ TEE-moo) is an online marketplace operated by the Chinese e-commerce company PDD Holdings. [8][9] It offers heavily discounted consumer goods [10] mostly shipped to consumers directly from China. [11][12] Temu's business model has allowed it to become popular among consumers but has also drawn concerns ...

  7. Data entry - Wikipedia

    en.wikipedia.org/wiki/Data_entry

    Data entry. Data entry is the process of digitizing data by entering it into a computer system for organization and management purposes. It is a person-based process [1] and is "one of the important basic" [2] tasks needed when no machine-readable version of the information is readily available for planned computer-based analysis or processing.

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