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Find out where you fall short of customer promises and make improvements for a better post-purchase customer experience.
Improve your post-purchase customer experience by understanding where you fall short of customer delivery promises. Get an exact picture of historical performance that’s accessible all in one place. Compare all carriers across all regions or dive into a local view.
Add upvote downvote polling questions to order status pages and delivery communications to collect customer sentiment on order delivery and communications. View by carrier or country in your parcelLab portal to better understand your logistics performance.
With watchlists and alerting you can identify when things aren’t going to plan during a delivery and take proactive action with your warehouse, carrier or directly with customers. See shipments that don’t dispatch on time, forgotten packages that are registered but have no inbound scan, or detect delays when too much time passes between scans. Automatically alert customer service teams or trigger special communications to show customers you care.
Use your own real-world performance data to feed future customer delivery date promises. With a continuous loop of machine learning for better predictions, active monitoring, and a long-term view on performance across logistics partners and regions you’ll have all the transparency you need to deliver the best post-purchase customer experience.
See exceptions by type, country, and track trends over time.
See how carriers perform against a benchmark average across a variety of metrics like misrouted and recalled packages.
See carrier performance across benchmarks for order returns.
Break down runtime performance from order to door and every step in between.