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Customer Experience

Data & Integrations

With GDPR: eCommerce Merchants Have To Send Their Tracking Emails Themselves!

Jun 25, 2018

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The image is an abstract image that displays the basic elements that comprises a delivery process. We have trucks, an online shopper, self-service order tracking window and shopping cards, delivery experience ratings, and the Parcel Perform logo. The topic is why merchants should use a single platform to fully manage their e-commerce logistics operations. Because a single platform has the data, and the tools necessary to oversee the entire frontend and backend process of post-purchase experience, or as Parcel Perform would like to call it, the delivery experience.
Data & Integrations
Customer Experience

The delivery advantage: How a single platform can supercharge your e-commerce business

Transform your delivery experience with a single platform. Optimize shipping, reduce costs, and delight customers.

May 30, 2024

This image illustrates the key themes of the article "Avoiding Peak Season Pitfalls: A Data-Driven Guide to Post-Purchase Excellence" by depicting the power of data-driven insights for optimizing the post-purchase experience. It features a magnifying glass hovering over a collection of colorful pie charts and bar graphs, symbolizing the importance of data analysis in understanding and improving delivery performance. A server icon represents the secure storage and processing of this valuable data, while a smiling person icon with a 5-star rating emphasizes the ultimate goal: achieving customer satisfaction and brand loyalty. The image also includes icons representing key elements of the post-purchase journey, such as delivery trucks, packages, and tracking information, alluding to the need for efficient shipping, proactive communication, and streamlined returns management. This visual effectively captures the essence of the article, which provides a comprehensive guide for e-commerce businesses to navigate the challenges of peak seasons by leveraging data-driven solutions like Parcel Perform. The article itself delves into common peak season pitfalls, such as longer delivery times, increased customer inquiries, and heightened expectations. It offers practical strategies to overcome these challenges, including optimizing carrier selection, providing proactive communication, and empowering customers with detailed tracking information. By implementing these data-driven approaches, businesses can not only avoid potential pitfalls but also turn them into opportunities to strengthen customer relationships and build brand loyalty. Keywords: peak season, post-purchase experience, data-driven, customer satisfaction, brand loyalty, shipping, delivery, tracking, returns management, e-commerce, Parcel Perform.
Data & Integrations
Customer Experience

Avoiding Peak Season Pitfalls: A Data-Driven Guide to Post-Purchase Excellence

Don't fall for these peak season pitfalls! Use this data-driven guide to optimize your post-purchase experience.

Nov 24, 2024

An image titled "DATA MONITORING" features a central AI-powered brain processing chaotic data inputs from one side and transforming them into organized analytics and tracking icons on the other. This visual represents the article's core theme: using a unified AI platform to move from reactive chaos to proactive, predictive control of e-commerce operations, especially during peak season. Article Summary: The article argues that reactive e-commerce operations are failing under the pressure of peak season. It advocates for a strategic shift to "predictive excellence," powered by a unified AI platform. This approach enables businesses to anticipate and resolve logistics and customer experience issues proactively, turning operational complexity into a competitive advantage.
Machine Learning & AI
Data & Integrations

Stop Managing Peak Season, Start Predicting It: How E-Commerce AI Transforms Reactive Operations

Stop fighting peak season chaos. Use a unified AI platform to shift from reactive to predictive e-commerce operations.

Oct 01, 2025

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