Machine Learning & AI

Data & Integrations

The Trust Signal Flywheel: How Unified E-Commerce Operations Win in AI Commerce

No siloed point solutions. Win in AI Commerce with a unified platform that creates a self-reinforcing trust flywheel.

Sep 25, 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 stylized image of an e-commerce checkout on a smartphone, with the words "CHECK OUT" framing the scene. The screen features a prominent orange button labeled "EDD" (Estimated Delivery Date) surrounded by 3D icons for security, location, and shipping. This visual highlights the article's core argument that a clear, trustworthy EDD is the central element of a high-converting checkout experience that builds customer trust.

Article Summary: The article argues that the Estimated Delivery Date (EDD) at checkout is the most critical trust signal in AI Commerce. Vague delivery windows deter both human shoppers and AI agents, leading to high cart abandonment. The solution is an AI-powered checkout that delivers specific, accurate delivery promises, which builds trust, improves conversion rates, and creates a sustainable competitive advantage.

Machine Learning & AI

Customer Experience

The First E-Commerce Handshake: Why Your Delivery Promise is the Most Critical Trust Signal

A delivery promise is a key trust signal. Vague EDDs at checkout cause cart abandonment. AI-powered accuracy wins sales.

Sep 18, 2025

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A futuristic image with the word "LOGISTICS" in large white text. Below it, a transparent digital tablet hovers over a glowing map with delivery routes. The tablet displays data charts and a truck icon, symbolizing AI-powered supply chain visibility and optimization. This visual represents the article's core message: using an advanced AI intelligence layer to monitor and manage logistics, thereby creating a smart, adaptive supply chain that broadcasts trust and competence in the era of AI Commerce.

Article Summary: The article argues that in the age of AI Commerce, AI systems constantly judge e-commerce logistics performance. Static supply chains are a liability, broadcasting negative "trust signals." To succeed, companies must adopt AI-powered logistics to create an adaptive, transparent supply chain. This generates positive trust signals—like rapid adaptation and proactive communication—transforming logistics into a key competitive advantage that wins over AI buyers.

Machine Learning & AI

Supply Chain

How AI Judges Your E-Commerce Logistics: Turn Your Supply Chain Into a Trust Signal

AI buyers judge your e-commerce logistics. Turn your supply chain into a live trust signal with AI-powered adaptability.

Sep 11, 2025

Industry Highlights

Top 10 Busiest Trade Lanes in the Americas in Q4 2024

Feb 05, 2025

Top 10 Busiest Trade Lanes in Europe in Q4 2024

Jan 24, 2025

Reducing Customer Complaints: How Predictive Insights Transform Delivery Challenges into Opportunities

Jan 22, 2025

Machine Learning & AI

Supply Chain

Call for Speakers competition opens for 10th edition of E-commerce Berlin Expo

Applications open Sept 8, 2025 for E-commerce Berlin Expo’s 10th Call for Speakers

Sep 08, 2025

Machine Learning & AI

Supply Chain

Domestic Delivery Landscape Q2 2025: Winning the AI Commerce Ranking Game

Q2 2025: shoppers and AI agents judge delivery. Compare Europe vs. Americas and learn the delivery benchmarks.

Sep 04, 2025

Machine Learning & AI

Customer Experience

AI Commerce is Here: How Your E-commerce Returns Strategy Defines Your AI Visibility

In AI Commerce, your returns strategy is a trust signal that determines your brand's AI Visibility and future sales.

Sep 03, 2025

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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

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