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Profile picture of Dr. Arne Jeroschewski, CEO and Founder of Parcel Perform.

Dr. Arne Jeroschewski

Founder & Chief Executive Officer, Parcel Perform

Dr. Arne Jeroschewski is the Founder and CEO of Parcel Perform, the leading AI Delivery Experience Platform enabling brands to win in AI Commerce. He leads the company’s mission to connect brand visibility across AI shopping agents with real delivery performance, turning logistics data into proof of trust and competitiveness. With over a decade of experience scaling e-commerce operations across Asia Pacific and Europe, Arne pioneers the future of vertical SaaS by harnessing AI and data intelligence to help businesses deliver better customer experiences, achieve proactive logistics control, and become the preferred choice for both AI and shoppers.

Recent Articles

  • Accessible Image Meta Description and Summary
Image Description: A professional man stands confidently next to a floating, futuristic holographic interface labeled "AI Brand Equity Profile Ranking." The dashboard displays various metrics with high scores, such as "92/100" and "78/100," alongside bar graphs. Below the graphics, large blue text reads, "Your Brand Is No Longer a Story. It's a Score." This visual reinforces the article's core thesis that AI-driven data analysis is replacing subjective branding.

Article Summary: This article argues that the era of "brand storytelling" is ending, replaced by "AI Commerce" where AI agents make purchasing decisions based on verifiable data rather than emotion. It introduces the concept of an "Objective Reputation Score," calculated by AI based on operational metrics like on-time delivery, product quality, and data transparency. Consequently, the responsibility for brand building is shifting from marketing departments to operations and logistics teams, making operational excellence the new primary driver of brand equity.
    Machine Learning & AI
    Data & Integrations

    Your Brand Is Not a Story. It's a Score.

    Stop storytelling. AI agents judge your brand by an Objective Reputation Score based on operational data.

    Nov 13, 2025

  • Image Description: A confident man in a dark polo shirt, the article's author, stands next to a graphic depicting AI's central role in e-commerce. A smartphone UI with an "AI" logo is surrounded by products like drones and a smartwatch, symbolizing how AI agents analyze data points like price and shipping to make purchasing decisions for the "AI-Augmented Consumer."

Article Summary: The article argues that consumer purchasing is shifting from human emotion to AI-driven, rational decisions. Businesses must stop marketing and instead focus on "Objective Verifiable Performance"—provable excellence in product, price, delivery, and trust—to appeal to these new AI agents. This requires reallocating resources from advertising to operational improvements.
    Machine Learning & AI
    Supply Chain

    Stop Marketing to Humans. Your New Customer Is an AI.

    The era of marketing to humans is over. Your new customer is an AI valuing operational performance over perception.

    Oct 17, 2025

  • Image Description: A photo of Parcel Perform CEO Dr. Arne Jeroschewski against a futuristic digital background. The image text reads "How to Win with Lean Operating Model and AI Decision Intelligence," visually representing the article's core concepts like "Unified Data Platform" with graphical icons. The image establishes the author's expertise and introduces the key themes of using technology to simplify complexity.
Article Summary: The article argues that hiring more staff to manage the data complexity of AI Commerce is a flawed strategy. Instead, businesses should adopt a lean operating model. This involves first creating a unified data platform to eliminate silos, and then leveraging AI Decision Intelligence to automate monitoring, generate actionable recommendations, and enable faster, smarter decision-making to gain a competitive edge.
    Machine Learning & AI
    Supply Chain

    Don’t Hire Your Way into Complexity. Win the AI Commerce Race with a Lean Operating Model.

    Win AI Commerce. Ditch complexity with a lean operating model powered by a data platform & AI Decision Intelligence.

    Sep 23, 2025

  • 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

  • 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

  • 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