Advanced Parcel Re-Identification Solutions for Lost Labels

Without PixoAnalytics

High costs due to lost parcels and label misidentification result in increased customer dissatisfaction and operational inefficiencies.

With PixoAnalytics

An efficient re-identification process significantly reduces lost parcel cases, enhancing customer trust and operational efficiency through accurate parcel recovery.

Achieved KPI

75% Reduction in Lost Parcels

Reduced lost parcel rates by up to 75%, resulting in significant cost savings and operational efficiency.

Achieved KPI

30% Boost in Customer Satisfaction

Improved customer satisfaction scores by 30% due to reliable and timely parcel recovery.

Achieved KPI

50% Faster Parcel Reprocessing

Decreased reprocessing time for mislabeled parcels by 50%, enabling faster delivery and reduced delays.

Client Problem

Addressing Label Loss: Enhancing Parcel Identification to Minimize Operational Costs and Improve Customer Satisfaction

Parcel operators frequently encounter issues with lost labels, leading to mislabeled or unidentifiable parcels. This not only incurs significant operational costs but also results in delays, lost shipments, and decreased customer satisfaction. Traditional methods of re-identifying these parcels are often time-consuming and unreliable, leading to inefficiencies and customer complaints.

Solution process for our customer

01

Integrating Advanced Fingerprint Technology

We begin by integrating our advanced fingerprint technology into the parcel operator's existing system, enabling it to analyze and capture the unique structure of the paper on each parcel, even when labels are missing.

02

Data Matching and Identification

Our technology then matches the analyzed data with the original labels stored in the system, enabling the identification of the parcel's origin and destination despite the missing physical label.

03

Relabeling and Processing

The matched information is relabeled and processed within the operator's system, allowing the parcel to be correctly sorted and dispatched without delay, minimizing disruption to the delivery process.

04

Continuous Monitoring and Optimization

We continuously monitor the system to ensure ongoing accuracy and efficiency, providing regular updates and adjustments to enhance the re-identification process as needed, ensuring optimal performance.

Wondering how to enhance your operational efficiency and security?

Discover the power of PixoAnalytics' advanced computer vision solutions. Get in touch for a free consultation and unlock the full potential of your processes!

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5+

Years Experience

PixoAnalytics is a German-based computer vision and AI company founded in 2021 after spinning off from Deutsche Post DHL Group, specializes in identifying and tracking items like letters, parcels, fabrics, and medications by analyzing their natural surface patterns. We assist manufacturers and logistics companies in enhancing quality, efficiency, and safety with our cutting-edge technologies. Our strategy focuses on creating value through tailored, innovative solutions, dedicating significant resources to research and development. We are committed to achieving economic growth sustainably, empowering our customers with advanced solutions to maximize their potential and ensure a sustainable future.

About us

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Why choose our technology?

(001)

Efficiency and Versatility

High accuracy and the ability to process large volumes without interruption, capable of working with any type of material and remaining functional even on partially damaged materials.

(002)

Unique Identification and Environmental Friendliness

Provides unique identification similar to fingerprints without requiring additional markings, making it environmentally friendly.

(003)

Cost-Effectiveness and Protection

Low investment requirements, easy installation, and automated revenue protection for products, processes, and operations.

Customers frequently ask

Here, you'll find quick answers to common questions about our products and services. If you need more help, please contact our support team.

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