Independent intelligence for supply chain leaders. Research, MarketMaps & executive analysis from @arc_advisory. Follow the signals reshaping logistics.

Worldwide
Joined February 2009
This Thursday: five supply chain technology markets, one increasingly interconnected operating environment, and one question we think buyers need to ask more often: Who owns the decision? Register: logisticsviewpoints.com/beyo…
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Adding another application is easy. Adding another application without adding another silo is harder. That is the problem behind our Oct. 29 webinar. Five MarketMaps, one architecture: logisticsviewpoints.com/beyo…
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Technology buyers often ask, “Can the system do this?” A better question may be, “Should this be the system that does it?” Capability and decision ownership are not the same thing. Oct. 29: logisticsviewpoints.com/beyo…
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Replacing stable EDI just because it is old can be as wasteful as preserving brittle point-to-point integration because it still runs. The complete reference: logisticsviewpoints.com/supp…
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Five MarketMaps. WMS. TMS. Supply Chain Planning. Decision Intelligence. Autonomous Exception Management. That is either a webinar agenda or the beginning of a very complicated architecture meeting. Oct. 29: logisticsviewpoints.com/beyo…
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Transportation visibility is converging with exception management and decision intelligence. The category boundary is moving beyond track-and-trace.
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Relying on brokers to own compliance decisions the importer remains accountable for is one of the most common operating-model mistakes. The complete reference: logisticsviewpoints.com/tari…
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For logistics leaders sorting real AI opportunities from noise, this guide maps the use cases, architecture and implementation sequence. Architecture, implementation and buyer questions: logisticsviewpoints.com/ai-i…
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AI can write a flawless paragraph about your late shipment. The useful version knows which shipment is late and what to do about it.
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The competitive shift is moving from access to models toward the quality of the operating architecture wrapped around them.
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Fluent output is not operational reliability. Logistics AI needs grounding, permissions, audit logs and failure behavior before it needs more autonomy. Full LV Essential Guide: logisticsviewpoints.com/ai-i…
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Compliance is becoming more data intensive as sanctions, export controls and product rules shift. Static spreadsheets are a fragile operating model. The complete reference: logisticsviewpoints.com/glob…
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AI makes control towers more interesting only when it is grounded in orders, inventory, shipments, policies and execution systems. The full buyer framework: logisticsviewpoints.com/supp…
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One week to go. We are not asking which platform “wins.” We are asking a harder and more useful question: when five technology markets overlap, who owns the decision? Join us Oct. 29: logisticsviewpoints.com/beyo…
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Alert fatigue is a design failure. A useful control tower suppresses noise and elevates exceptions based on business consequence and time to recover.
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AI in WMS is valuable when it improves slotting, labor, prioritization and exceptions. It is not a substitute for clean inventory and process discipline.
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