Independent intelligence for supply chain leaders. Research, MarketMaps & executive analysis from @arc_advisory. Follow the signals reshaping logistics.
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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…
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…
AI agents make orchestration more flexible, but deterministic workflow, permissions and state management remain essential underneath. Use the full LV guide: logisticsviewpoints.com/supp…
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…
For logistics leaders evaluating visibility software, this guide focuses on what to test before accepting the network-coverage claims. The full buyer framework: logisticsviewpoints.com/supp…
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…
Transportation visibility is converging with exception management and decision intelligence. The category boundary is moving beyond track-and-trace.
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…
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…
AI can write a flawless paragraph about your late shipment. The useful version knows which shipment is late and what to do about it.
The competitive shift is moving from access to models toward the quality of the operating architecture wrapped around them.
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…
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…
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…
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…
Alert fatigue is a design failure. A useful control tower suppresses noise and elevates exceptions based on business consequence and time to recover.
EV fleets change telematics requirements: route suitability, state of charge, charging windows, depot power and energy price become operating data. The complete reference: logisticsviewpoints.com/flee…
For warehouse leaders building a WMS shortlist, this is the buyer guide I would use before the scripted demos begin. Use the full LV guide: logisticsviewpoints.com/ware…
AI in WMS is valuable when it improves slotting, labor, prioritization and exceptions. It is not a substitute for clean inventory and process discipline.