Parcel Shipping Index 2020 (Infographic)
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The Pitney Bowes Parcel Shipping Index measures volume and spend for business-to-business, business-to-consumer, consumer-to-business and consumer-consigned shipments with weight up to 31.5 kg (70 lbs.) in 13 major markets, representing 3.8 billion people in the U.S., Canada, Brazil, Germany, UK, France, Italy, Norway, Sweden, China, Japan, Australia and India. Based on proprietary and published data, the Index has become a valued industry benchmark and a reliable source of accurate forecasting since the inaugural report in 2015. The annual report found that global parcel volume surpassed 100 billion in 2019, reaching 103 billion. More than three of every five parcels shipped in the world’s major markets are generated by China. Over 3000 parcels were shipped every second in 2019 in the world’s 13 major markets. Get more information here (video, press release, interactive map, contacts): pitneybowes.com/us/shipping-index.html?
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Der Pitney Bowes Parcel Shipping Index wertet den Paketversand (Volumen und Umsatz) von 13 wichtigen Märkten aus: Deutschland, Großbritannien, Frankreich, Italien, Norwegen, Schweden, USA, Kanada, Brasilien, China, Japan, Australien und Indien. Zusammen repräsentieren die Märkte 3,8 Mrd. Menschen.
Seit 2015 wird der jährliche Index basierend auf unternehmenseigenen und öffentlich zugänglichen Daten erstellt und hat sich zu einem anerkannten Branchenstandard entwickelt.
Der Index zeigt, dass das Paketvolumen im Jahr 2019 auf 103 Mrd. Pakete gewachsen ist (2018: 87 Mrd. Pakete) und, wie im Vorjahr prognostiziert, damit erstmals die 100-Mrd.-Marke übersteigt. Größter Treiber dieses Anstiegs ist China: Drei von fünf Paketen in den beobachteten Märkten wurden dort gesendet.
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After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
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Epistemic Interaction - tuning interfaces to provide information for AI support
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
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