Articles
Artificial Intelligence
Unlocking Revenue Growth With AI
In the modern service economy, businesses face growing pressure to deliver value-driven customer experiences while maximizing profitability. Yet, many organizations remain tethered to outdated tools and manual processes that hinder operational efficiency and scalability.
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How to Manage Lead Time With Machine Learning
The impact of lead time variability on supply chain management is a critical factor impacting operational efficiency, cost management and service delivery. Lead time involves decisions that determine optimal inventory levels, when to place orders and how much to order, stocking policy, available-to-premise calculations, supplier performance and supplier selection.
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DEI Erosion Threatens Safety. Artificial Intelligence May Help Pick Up the Slack.
Rollbacks on diversity, equity, and inclusion (DEI) efforts will exact a heavy cost on safety, compliance, and productivity on American industrial workforces, which grow more diverse every year. AI might help.
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Transforming Supplier Risk Management: The Role of AI and Predictive Analytics in Complex Supply Chains
Supply chains globally are growing at a massive scale. This interwoven web has become so complex, that it has become an insurmountable challenge for companies. With this growth, the supplier’s risks have increased exponentially.
Read MoreAI and the Essential Supply Chain Worker
When it comes to AI in the supply chain, we can choose fear or embrace change. Only one approach is likely to be successful.
Read MoreProtecting Supply Chain Trade Secrets
Very few businesses operating today do not use some kind of AI in most aspects of their operations. Therefore, the question of how to use AI to protect intellectual property, especially in global supply chains, requires some definition.
Read MoreWholesale Distributors Put AI to Work
Looming above all the day-to-day business pressures that wholesale distributors face is one overarching strategic imperative: Find ways to grow profitably—without increasing staffing levels. To meet that challenge, companies must attack it from multiple angles.
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