In supply chain and logistics, coordination across multiple partners and systems is key. AI that generates inaccurate shipping schedules, misinterprets demand forecasts, or suggests incorrect reorder points can derail operations and increase costs.

Imagine a distribution company using an LLM agent to answer vendor inquiries or generate replenishment plans. If the model cannot recognize updated lead times or interpret real-time stock levels correctly, the entire fulfillment process breaks down.

This is why effective AI in the supply chain must:

• Pull directly from ERP, inventory, and procurement systems
  
  
• Adhere to internal workflows and rules of engagement
  
  
• Operate in a monitored, contained environment where feedback loops can catch errors
  
  

When done right, AI can optimize order tracking, automate supplier communications, and improve demand forecasting. But getting it right means building guardrails, not just plugging in a model and hoping it behaves.

What the Salesforce Benchmark Really Tells Us

The benchmark is valuable because it provides an unfiltered view of where LLMs succeed and where they fail. Complex tasks with multiple steps still trip up most AI agents. Hallucinations and misinterpretations are still prevalent. And models behave differently depending on how they’re deployed and what workflows they touch.

This confirms what many of us already experience:

| AI works best when it is customized, contextualized, and controlled.

• Avoiding plug-and-play AI deployments
• Building secure, governed AI environments
• Training models on your data, not the general web
• Integrating feedback, oversight, and human checkpoints

The Path Forward

AI is a powerful tool, but it needs the right framework to deliver reliable results.

The future lies not in off-the-shelf intelligence but in purpose-built solutions that reflect your industry, your workflows, and your risks.
Whether you are modernizing a logistics network or enhancing care coordination, AI must be part of a larger digital strategy—one grounded in governance, trust, and accountability.

Salesforce’s benchmark is not a warning against AI. It is a reminder that how you implement it matters most