Products
Integrations
Self-configure, adjust, and display a delivery promise date that will help your shoppers make faster and more confident purchase decisions.
Ecommerce
This global omnichannel fashion brand wanted to increase conversion rates and checkout confidence. Previously they were using a static delivery date on a per-country basis. Lack of data prevented them from making more accurate delivery predictions, which meant they had to use a conservative date to safeguard their customer experience.
With the accuracy of the parcelLab Promise algorithm, their Order Management Expert for Ecommerce Operations was able to calibrate a more aggressive specified promise date, which has resulted in increased conversion rates and faster checkout times.
Marketing
Previously, this experience-driven global consumer electronics brand was showing a static delivery date by country on their product detail pages and at checkout.
Their goal was to increase direct purchases, but delivering a positive customer experience and minimizing promise failures was paramount.
Their Digital Experience Platform Enablement Lead and Ecommerce Activation Lead leveraged the parcelLab Promise API to implement a dynamic delivery date with a customer zip code input to show a more accurate date and compete more effectively with marketplaces and retail sites.
Ecommerce
This global luxury fashion brand couldn’t previously display a delivery promise date to shoppers due to their complex fulfillment process involving over 20 stock points. It caused delivery uncertainty and frustration with customers, which drove significant support outreach.
With parcelLab Promise, their IT Order Management Applications Manager can self-configure and adjust dynamic promise dates for all orders, including complex multi-leg fulfillment scenarios, setting clear delivery expectations and reducing customer support contacts.
ECOMMERCE
Previously, this omnichannel jewelry brand provided no information about delivery lead times until the checkout, where they showed a static promise date by country.
They wanted to impact conversion earlier in the buying journey to maximize traffic to their product detail pages and reduce cart abandonment, but without touching their existing checkout set-up.
With pL Promise, their Lead Developer was able to display a data-driven date range by country on their product detail pages, while keeping the existing static delivery date in their checkout. This light touch implementation was completed and delivering value in just 3-4 weeks.
Delivers business-critical PDP and checkout load times.
Combines parcelLab's global dataset of over a billion shipments with your own historical fulfillment data to provide a best-in-class Promise date.
Easily configure your delivery promise with warehouse information, carrier delivery methods, additional handling or processing time, and ad hoc adjustments.
Gain full visibility of historical customer promise attainment, segmented by origin, carrier, and geography.
parcelLab’s capability to integrate its solution into HUGO BOSS’s existing infrastructure and offer forecasted delivery dates to their global clients kicked off the long-standing partnership. HUGO BOSS initially wanted to understand where parcels were on their journey to customers. parcelLab not only delivered on that promise, but also overtime integrated personalized emails to their client base with updates on order status, delivery timing and returns.
Read the case studyProvide a predictive delivery date that increases conversions, reduces uncertainty, and improves customer satisfaction.
Learn moreEnhance your post-purchase journey with personalized communications that keep customers informed every step of the way.
Learn moreTurn potential customer dissatisfaction into an opportunity for revenue retention by digitizing your returns process.
Learn moreLearn more about how parcelLab can get you up and running quickly.
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