Provide a predictive delivery date that increases conversion rates, reduces consumer uncertainty, and improves customer satisfaction.Book a demo
Supporting Retailers During the Conversion Journey
The Convert suite helps to reduce delivery uncertainty and increase onsite conversion by providing retailers with a predictive delivery promise date on product detail pages and at checkout. Combined with parcelLab’s Track & Communicate product, Convert can be extended into the post-purchase experience with hyper-relevant updates and personalized content.
Powered by our machine-learning algorithm, parcelLab Promise calculates estimated delivery dates based on your warehouse operations and corresponding delivery methods, accounting for ad hoc holiday updates, delivery method changes, multiple carriers, weather closures, and staffing shortages.
Low Latency API
Out-of-the-box API with flexible request pattern based on data available to the retailer.
Random Forest based data model with zip-code level accuracy.
Easily configure the estimated delivery date from PDP to the checkout page.
Track & Update
Monitor against forecasted dates and communicate with customers accordingly.
Teams That Benefit From Convert:Learn more
BOSE: Our customer focus resulted in an email open rate of 79%
I think that this was one of the main decisions to go with parcelLab because we saw flexibility there, and we really liked the idea, for example, of testing different templates, like doing A/B tests on open rates differ. How does click-rate differ if we put this element up or down, etc?
These tests would internally take a lot longer… but really kudos to the parcelLab team here – they have been super flexible, and everything is done really fast!Read the story
PETER HAHN: 98% deem our shipping information reliable and helpful
PETER HAHN stands for high-quality fashion and first-class service. With the parcelLab platform, we now also offer our customers first-class shipping communication with all relevant information about their order.Read the story
Hessnatur: Targeted timing yields a +365% increase in ratings
When it comes to asking for product reviews, it’s all about the right timing. With parcelLab, we have tailored the shipping communication to the various stages of the process and our request reaches our customers exactly when they are happy to hold their parcel in their hands and are really ready to evaluate and give feedback.Read the story
bonprix: 24 message triggers ensure an optimal buying experience
The customer journey is now streamlined and informative. Next, we want to unlock the marketing potential hidden behind the 12 million notifications sent to our customers every year. Thanks to parcelLab, this is possible – it would be a shame to leave this potential untappedRead the story
11teamsports:Customer loyalty pays off with 19% more sales as a result
Our partnership with parcelLab has given us many advantages. Our customers now receive all post-purchase messages directly from us, in our corporate identity and the Order Status page on our site has created some very valuable trafficRead the story
Frequently Asked Questions
parcelLab Convert includes configuration that enables non-technical business users to set up estimated delivery dates on product detail and checkout pages; a machine learning algorithm trained on customer and carrier data attributes that impact timing like holidays, warehouse hours, courier pickup times, staffing shortages, etc.; and a low-latency API ensuring no impact on PDP or checkout loads speeds, responding in less than 8ms.
Most order and transport management systems are primarily designed to manage delivery operations. Our product is designed for non-technical users looking to increase revenue, decrease support costs, and improve customer experience. As a result, parcelLab enables you to provide the right combination of data-driven lead times, proactive consumer notifications, and configuration to easily meet your ever-changing fulfillment landscape.
An out-of-the-box API allows immediate technical product delivery. The Machine Learning algorithm requires two weeks for retailer-specific training with consumer and carrier data, and configuration of warehouses and delivery methods. In two weeks, you can provide your consumers with delivery date information that grows top-line revenue.
parcelLab’s dedicated and specialist implementation team of data scientists, carrier logistics experts, and project managers helps drive a smooth and efficient timeline that accommodates anticipated data requirement changes, rigorous test plans, and room for necessary user training.
Resources to Help You Achieve Your Goals
How to Build Branded Tracking Pages that Convert
The ultimate Post-Purchase Guide
Learn More About parcelLab's Product Suites
Transform Your Post-Purchase Experience
Learn more about how parcelLab can get you up and running quickly.Book a demo