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Machine Learning & AI

A portrait of author Dr. Arne Jeroschewski against a digital background of logistics icons and data graphs. This illustrates the article's summary: in AI Commerce, businesses are now judged not on promises, but on the provable proof of their performance. The article explains that AI agents analyze the entire post-purchase journey, including on-time delivery stats, proactive communication, and frictionless returns, making operational excellence the most critical asset for winning customers.

Machine Learning & AI

Customer Experience

Promise vs. Proof: Why Flawless Delivery Is Non-Negotiable in AI Commerce

In AI Commerce, promises get you seen. A flawless delivery experience is proof that gets you chosen and wins the sale.

Sep 02, 2025

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Image Description: A funnel channels customer engagement concepts like "NPS Score" and "Upselling" onto a smartphone's tracking page, visualizing the article's argument that the tracking page is a "High-ROI" channel that creates "AI-Perceptible Data." Article Summary: This article argues that the branded tracking page is an e-commerce brand's highest-ROI marketing channel. It transforms the post-purchase journey from a data black hole into a profit center for retention and upselling. Critically, it generates the clean, "AI-perceptible data" and "Trust Signals" required to achieve "AI Visibility" with AI agents.
Machine Learning & AI
Data & Integrations

The E-commerce Tracking Page is Your New Highest-ROI Ad Channel

Your e-commerce tracking page? A high-ROI channel for retention, upselling, and generating the trust signals AI rewards.

Aug 27, 2025

Machine Learning & AI
Supply Chain

E-commerce Shipping Benchmarks in the Americas: Busiest Trade Lanes Q2 2025

Q2 2025 Americas: Top 5 domestic & top 5 cross-border lanes - delivery performance benchmarks at a glance

Aug 26, 2025

Image Description: A humanoid robot analyzes performance data on a digital interface focused on "OPTIMIZATION" and "GEO" (Generative Engine Optimization). This visualizes the article's argument for using structured data to create the "Trust Signals" that AI engines reward. Article Summary: This article introduces Generative Engine Optimization (GEO), the new discipline for achieving "AI Visibility." It explains that AI engines prioritize verifiable data over keywords. To succeed, businesses must transform their live delivery data into "Trust Signals," proving their reliability to risk-averse AI agents and becoming the engine's preferred choice.
Machine Learning & AI
Data & Integrations

Beyond Keywords: A Guide to Generative Engine Optimization (GEO) with Your Delivery Data

Beyond SEO: Generative Engine Optimization (GEO) uses delivery data to make your brand the trusted choice for AI.

Aug 20, 2025

Image Description: A humanoid robot interacts with a futuristic digital interface highlighting the word "RELIABILITY" and a green shield with a checkmark. This visualizes the article's concept of AI agents prioritizing verifiable trust and operational excellence in e-commerce. Article Summary: The article explains that to succeed in the new era of AI Commerce, businesses must appeal to hyper-rational AI shoppers. This requires shifting focus from traditional marketing to building demonstrable operational reliability. By creating positive "Trust Signals" through a flawless delivery experience, merchants can prove they are a low-risk option and achieve critical "AI Visibility."
Machine Learning & AI
Data & Integrations

The Psychology of the AI Shopper: Why Demonstrable Reliability is Your New Key Metric

The AI shopper is here. It's rational, risk-averse, and chooses brands based on demonstrable operational reliability.

Aug 13, 2025

Image Meta Description This image features Dr. Arne Jeroschewski, CEO of Parcel Perform, in a business suit, pointing towards key concepts in generative search. To his left is a graphic of an "AI SEARCH BAR" with the example query "Best coffee machine". To his right, three floating blue blocks highlight the main data pillars an AI uses to make a decision: "PRODUCT," "DELIVERY DATA," and "PRICE". The image's title at the bottom reads, "WINNING THE AI'S CHOICE: HOW TO MASTER GENERATIVE SEARCH," illustrating the article's theme of adapting to an AI-driven e-commerce landscape. Article Summary This article by Dr. Arne Jeroschewski argues that traditional Search Engine Optimization (SEO) is becoming obsolete in the era of AI-driven generative search. Previously, the goal was to rank high on a search results page to get a click. Now, AI platforms like Google's AI Overviews provide direct, synthesized answers, acting as a powerful gatekeeper between businesses and customers. To succeed, businesses must shift from optimizing keywords to demonstrating performance through radical, machine-readable transparency. This requires providing AI agents with live, structured data based on three pillars: accurate, real-time Live Product Data on inventory and specifications; the Total Landed Cost, which is the true final price with no hidden fees; and Demonstrable Delivery Performance through a concrete and reliable Estimated Delivery Date (EDD), which acts as the ultimate tie-breaker. Ultimately, the article concludes that if a business's critical information isn't structured and machine-readable, it will be invisible to AI and risks being left behind.
Machine Learning & AI
Supply Chain

Your SEO Strategy Is Obsolete. Here’s How to Win When AI Controls the Search.

Your SEO is obsolete. Win at AI Commerce by mastering generative search before your e-commerce brand becomes invisible.

Aug 11, 2025

Machine Learning & AI
Supply Chain

European E-commerce Shipping Benchmarks: Busiest Trade Lanes Q2 2025

Q2 2025 Europe: Top 5 domestic & top 5 cross-border lanes - delivery performance benchmarks at a glance

Aug 08, 2025

Image Description: A futuristic, abstract image with a purple and blue gradient background. In the foreground, the word "VISIBILITY" is in large, white, transparent letters. At the center, a translucent blue cube projects light upwards into a glowing circular "AI" emblem. Around the cube are four holographic screens displaying data charts and the words "Trust Signal". Other keywords like "CHALLENGES", "UNIFIED PLATFORM", and "STRATEGY" are also visible. The image visually represents the article's core concept: achieving AI Visibility requires a unified platform strategy to turn operational data into positive Trust Signals for AI agents. Article Summary: This article argues that e-commerce is undergoing a seismic shift to "AI Commerce," where AI agents are the new gatekeepers determining brand discovery. To succeed, brands must master "AI Visibility" by optimizing their end-to-end delivery experience into verifiable "Trust Signals"—such as delivery speed, promise reliability, and returns ease—that AI agents are programmed to reward. The guide details the challenges this new paradigm creates for business leaders and presents Parcel Perform's unified, AI-powered platform as the strategic shortcut to transform operational excellence into a dominant competitive advantage.
Machine Learning & AI
Data & Integrations

AI Visibility: Win This Peak Season, Dominate AI Commerce

The rules for winning Peak Season have changed. AI is the new gatekeeper. Master AI Visibility to dominate AI Commerce.

Aug 06, 2025

Machine Learning & AI
Supply Chain

Americas Q2 2025 Delivery Performance: Transit Times, Carrier Issues & AI Commerce Trends

Americas Q2 2025: Transit times rose 13%, but carrier issues fell and on-time delivery hit 98.25%.

Aug 05, 2025

This is an illustrative image titled "AI COMMERCE DEMANDS SMARTER LOGISTICS". The text is written in a large, purple, sans-serif font on the left side of the image. The visual centerpiece is a glowing purple cylinder labeled "AI," representing a central intelligence hub. This AI hub acts as the core of a logistics network, with lines radiating from its base to connect various elements of the e-commerce delivery process. These connected elements include: A small warehouse or distribution center. Two different types of delivery drones. A white delivery truck with a yellow cab. A bank of parcel lockers for pickup. A smartphone displaying a package tracking screen. In the context of the article, this image visually represents Parcel Perform's core vision: "AI. At the heart of every delivery". The central "AI" cylinder symbolizes the "AI Decision Intelligence" engine that powers and unifies the entire delivery ecosystem. The lines connecting to trucks, drones, warehouses, and tracking apps illustrate how this AI layer creates a synergistic, intelligent, and automated logistics operation —from providing accurate delivery estimates at checkout to managing the post-purchase journey and optimizing the physical delivery network. Article Summary The article argues that the rise of "AI Commerce"—where AI agents and systems increasingly influence or execute online purchases—is fundamentally changing e-commerce. In this new landscape, a business's operational excellence, particularly its delivery performance, must be "AI-visible" and demonstrably superior to be prioritized by these algorithms. The text positions Parcel Perform as the "strategic AI logistics partner" necessary to thrive in this era. The company's vision is to place "AI. At the heart of every delivery". This is achieved through an integrated platform built on a foundation of high-quality, clean logistics data. The platform's core is an "AI Decision Intelligence" layer that transforms data into actionable insights for teams. This engine powers a suite of tools that work together to create a seamless AI-driven delivery experience: AI-Powered Checkout: Generates highly accurate Estimated Delivery Dates (EDDs) to reduce cart abandonment. Intelligent Post-Purchase: Offers personalized, branded tracking and proactive notifications to reduce customer inquiries. Streamlined Returns: Manages reverse logistics efficiently, which is a key signal of reliability to AI evaluators. Optimized Logistics: Uses AI for carrier selection and cost audits to ensure operational agility and efficiency. By implementing this "intelligent logistics automation" , businesses can build customer loyalty, lower operational costs, and achieve sustainable, "AI-powered e-commerce growth". The article concludes by emphasizing that choosing the right technology partner is a critical strategic decision for any business aiming to develop a "future-proof logistics strategy" and succeed in the age of AI Commerce.
Data & Integrations
Machine Learning & AI

The AI Commerce Revolution: Your Logistics Must Lead, or Be Left Behind.

AI is choosing e-commerce winners. See how smarter logistics can future-proof your business and drive growth.

Aug 04, 2025

Discover how Parcel Perform can transform your e-commerce business.

Turn your e-commerce delivery process into a competitive advantage.

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Image Description The image displays a glowing blue cube, symbolizing the solid "data foundation for AI" that is crucial for trustworthy AI in e-commerce logistics. The title, "Data Excellence: Powering Trust in AI Commerce," is written beside it. This visual represents the article's central theme: that a commitment to clean, high-quality, and comprehensive data is essential to build reliable AI solutions that businesses can trust in the AI Commerce era. Article Summary In the current era of AI Commerce, the effectiveness of any AI system depends entirely on the quality of the data it consumes. Many businesses face a "'garbage in, garbage out' AI results" crisis, where poor data quality leads to unreliable predictions, a lack of trust in AI tools, and significant financial losses. This article explains why a foundation built on clean, high-quality, and comprehensive logistics data is essential for superior and trustworthy AI outcomes. It details how Parcel Perform's data advantage provides this foundation by integrating and harmonizing data from over 1,100+ global carriers into a single, coherent language. This meticulous approach to data excellence powers the company's AI Decision Intelligence platform, enabling businesses to achieve more accurate predictions and make reliable, data-driven decisions to succeed in the new AI-driven landscape.
Machine Learning & AI
Data & Integrations

Data Excellence: The Unshakeable Foundation for Trustworthy AI in E-commerce Logistics and the AI Comm...

Stop messy data from breaking your AI. Learn how clean data fuels trustworthy AI in the new era of AI Commerce.

Jul 31, 2025

Machine Learning & AI
Supply Chain

Q2 2025 Logistics in Europe: Delivery Times, Success Ratios & AI Insights

Q2 2025: Europe’s transit times rose to 1.6 days, but first-attempt delivery success climbed to 86.39%.

Jul 24, 2025

Machine Learning & AI
Supply Chain

The Delivery Landscape in the Netherlands from Q1/2024 - Q1/2025

In 2024 - 2025, Dutch delivery saw slower transit in peaks, declining first-attempt success, and rising issue rates.

Jul 15, 2025

Dr. Arne Jeroschewski, CEO of Parcel Perform, stands confidently in front of a digital background with logos for OpenAI and Google. A large headline on the image reads: "E-COMMERCE HAS BECOME HYPER-RATIONAL." The background includes data charts, symbolizing the article's theme of data-driven AI commerce. Summary of article: The rules of e-commerce are changing. In a new hyper-rational world, AI makes purchasing decisions based on pure data, not marketing. Learn how to win.
Machine Learning & AI
Data & Integrations

The Rules of E-commerce Have Changed. Welcome to the Hyper-Rational World.

A CEO’s raw insight: Your marketing is obsolete. AI is hyper-rational. This is how you win the new global battlefield.

Jul 13, 2025

Machine Learning & AI
Supply Chain

The Delivery Landscape in Germany from Q1/2024 - Q1/2025

Germany in AI commerce: 97% on-time delivery, but first-attempt success fell to 80%. Reliability drives visibility.

Jul 03, 2025

Machine Learning & AI
Supply Chain

The Delivery Landscape in the United States from Q1/2024 – Q1/2025

US Delivery in the past 5 quarters: Faster pickups, rising issues, and AI making performance more visible than ever.

Jun 26, 2025

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