How To Maximize Your E-Commerce Success During The Holidays | Spotlight Series

Get ready for the holiday rush with this special Omni Talk Retail Spotlight episode!Chris Walton and Anne Mezzenga sit down with Natalija Pavic, the Senior Product Marketing Manager at Salesforce Commerce Cloud and host of the Commerce Cloud Innovations podcast, and Melissa Dallmeyer, the Global Leader of Enterprise & Mid-market Partnerships at Avalara, to discuss how retailers can best prepare for the busy holiday season.From the benefits of composable and headless commerce to the critical importance of tax compliance, our guests break down the tools and strategies retailers need to ensure a smooth, profitable holiday season. Whether it’s optimizing site speed, managing customer personalization, or avoiding costly mistakes during peak shopping times, this episode is packed with insights to help your business succeed.Key moments from the interview include:[0:08] – Introduction[1:04] – Kicking off the holiday retail prep conversation: What retailers should expect?[5:04] – Natalija explains headless vs. composable commerce and why it’s essential for holiday preparation.[10:06] – Melissa covers the importance of tax compliance and seamless integrations for retail success.[13:12] – How composable architectures help retailers react quickly to unexpected crises during the holiday season.[17:00] – Real-world examples of costly mistakes retailers make and how to avoid them.[24:50] – Final advice on testing systems, ensuring fast checkouts, and keeping operations running smoothly during peak times.[31:03] – Wrapping up: Last-minute tips for holiday retail success and how to connect with today’s guests.Tune in to learn how to prepare for a successful holiday season and get ahead of potential crises before they happen!For content like this and more from Natalija Pavic listen to the Salesforce Commerce Cloud Innovations Podcast: https://link.chtbl.com/3Ishg29W#ecommerce #taxcompliance #tax #retail Music by hooksounds.comSponsored ContentThis podcast uses the following third-party services for analysis: Podcorn - https://podcorn.com/privacy