\ \ Kris Gösser](/content/author/kris-gosser/index.html) Updated February 12, 2026 13 min read ### Introduction While communicating a delivery date after a customer makes an online purchase is a basic ecommerce interaction, starting the estimation process and providing a clear delivery promise before the final buying decision (in real-time) is much more difficult. This playbook explores how enterprise shippers, ecommerce businesses, and marketing leads can increase cart conversion rates by merchandising delivery dates. **Key highlights:** - A delivery promise showing when customers will receive items before purchase significantly increases cart conversion rates. - Major retailers like Amazon, Walmart, and Target have successfully implemented delivery promises as a competitive advantage. - Creating accurate delivery estimates requires real-time integration between inventory, fulfillment, transit systems, and shipping policies. - Shipium’s API allows enterprise shippers to confidently display precise delivery dates on product pages and in checkout flows. ## Providing a promised delivery date can drive purchase decisions Consumers expect to be told when they will receive the things they buy online. Traditionally, that is managed after an order is processed, with notifications being sent via email during the post-order flow. But increasingly, buyers are making purchase decisions based on knowing an [estimated delivery date](/content/en/blog/estimated-delivery-dates/index.html) _before_ they actually buy something. A study of [VML](https://www.vml.com/insight/the-future-shopper-2024-has-landed) showed that 63% of shoppers agreed with the statement, with a clear and seamless delivery experience being a crucial aspect of their decision to click the buy now button. Not many stores adhere to this preference. Visit most ecommerce sites and go to the product detail page, and you will see something like “Usually ships within 2 days,” which doesn’t help. All the consumers care about is when they will get the product, but instead, sites give a [service level agreement (SLA)](/content/content/delivery-service-level-agreements/index.html) for the fulfillment center. This is a great example of focusing on what’s easy to implement over what actually matters to the customer. ### Examples of delivery promises from large ecommerce brands Large ecommerce businesses — like Walmart, Target, [Amazon](/content/pr/shipium-and-amazon-shipping-partner-to-bring-reliable-ground-shipping-to-merchants/index.html), Home Depot, and others — have invested in delivery promises, however, and pushed this expectation over the years because they know it matters to customers. Here we have an example of Amazon showing estimated delivery dates: Once Amazon expanded to a marketplace model, they extended estimated delivery dates to sellers who use Fulfillment By Amazon (FBA). Now if we look at Loog—who makes awesome music instruments for kids, by the way—we find the absence of that delivery promise. ### Implementing estimated delivery dates is a challenge **Any company that presents an estimated delivery time will experience better conversion and loyalty.** So why doesn’t every store do it? The screen real estate for displaying a simple date is small, yet the technical requirements behind the scenes are huge. A real-time, SKU-specific estimation displayed on a screen requires integration with the following systems: - Frontend (Store, like [Shopify](/content/content/10-shopify-fulfillment-best-practices-for-ecommerce-businesses/index.html) or Magento) - Inventory - Fulfillment - Transit Management System (TMS) / carrier network - Policies ### How to implement reliable delivery dates When implementing reliable delivery dates, the first thing to know is the destination ZIP. If you have a user account system set up, you can pull the ZIP from the customer profile. From there, the front end makes a call and sends those two data points to the inventory management system to know how many items of that SKU are left across which FCs. The result is returned back to the frontend store, which then displays the information back to the consumer. ## Delivery date promise: Key plays When it comes to providing an upfront shipping date to customers, the challenges are multidimensional and get increasingly complex. ### 1. Managing trade-offs How do you pick an EDD? Do you pick the cheapest option, the fastest, or somewhere in between? ### 2. Prioritizing real-time results Delivery dates need to be determined in real-time. ### 3. Factoring cut-off times Managing the latest time that orders can be made on a given day is important to improve precision. ## Fulfillment metrics you need to track The key to optimizing your promise is managing and consistently reviewing and drawing insights from detailed [shipping analytics](/content/blog/shipping-analytics/index.html). - **Accuracy:** Log all displayed estimated dates. - **Conversion percentage:** Log if an estimated delivery date was displayed for a given order. - **Speed/cost balance:** Log all possible dates that were determined for your given policies. ## Make delivery promises more intuitive with Shipium Adding a delivery promise is a play that [Shipium](/content/platform/index.html) was built to support. ## Frequently asked questions ### What is a delivery promise? A delivery promise is a commitment a retailer makes to deliver an order within a specific timeframe. ### What is the importance of keeping your delivery promises? Keeping the delivery promises you make at the time of purchase helps: - **Build consumer trust.** - **Reduce customer service workload.** - **Protect your brand reputation.** - **Avoid unnecessary costs.** ### How accurate are delivery promises? The delivery promises given to consumers can vary in accuracy depending on multiple factors outside your control. ### How can ecommerce companies maintain their promised delivery dates? Several key strategies can help ecommerce companies ensure they deliver on time: - Implement robust inventory management systems that provide real-time visibility. - Partner with reliable shipping carriers. - Create realistic buffer time in delivery estimates to account for potential delays.