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Applied AI

Applied AI

Discover how artificial intelligence is transforming distribution—and how you can put it to work in your business today. From practical tools and step-by-step guides to real-world use cases and member-only resources, ASA’s Applied AI initiative gives you the knowledge and confidence to harness AI for greater efficiency, smarter decision-making, and stronger customer connections.

 

Why AI Matters

Artificial intelligence isn’t about replacing people—it’s about empowering teams to work smarter. For distributors, that means reducing manual tasks, predicting customer needs, optimizing pricing and inventory, and unlocking new growth opportunities. ASA’s Applied AI resources are designed to help you cut through the noise, identify practical applications, and make AI an everyday tool for business success.

1. Why Applied AI?

Artificial intelligence is no longer a future concept—it’s already reshaping how distributors compete. Customers expect faster answers, employees are experimenting with new tools, and competitors are finding efficiencies with AI. For distributors, the question is not if AI will make an impact, but how quickly you can apply it to improve operations, strengthen customer relationships, and grow profitably.
 

“Distributors who adopt AI now will pull ahead. Those who wait risk falling behind as competitors use AI to work faster, smarter, and more profitably.”

2. Common Problems AI Can Solve

Tribal Knowledge Loss → Capture expertise before retirements.

  • Much of a distributor’s expertise lives in the heads of experienced employees who are nearing retirement. AI tools can help capture, organize, and share that knowledge so it isn’t lost when people leave.

Turnover & Training → Faster onboarding & consistent support at the counter.

  • New employees take time to train, and turnover creates constant disruption. AI can provide faster onboarding through automated training resources, guided support at the counter, and consistent answers to common questions.

Quoting & Pricing → Speed and accuracy in generating quotes.

  • Slow or inconsistent quoting can cost sales. AI speeds up the process by generating accurate quotes quickly, checking for errors, and supporting reps with data-driven pricing recommendations.

Process Automation → Reduce manual, repetitive work.

  • Manual, repetitive tasks drain time and morale. AI can automate routine data entry, report generation, and other low-value tasks so employees can focus on higher-impact work.

Communication Quality → Professionalize customer emails and responses.

  • Professional, polished communication builds trust with customers. AI can assist in writing clear, concise, and consistent emails, proposals, and responses that strengthen relationships.

3. Practical Use Cases by Role

​IT / Data Teams → Data quality, integration, security.

  • AI depends on clean, well-structured data. IT teams can use AI to improve data quality, automate routine integrations, and detect anomalies before they become problems. AI also strengthens cybersecurity by identifying threats faster and supporting compliance efforts.

Operations → Inventory optimization, supply chain forecasting.

  • From warehouse management to supply chain forecasting, AI helps operations leaders anticipate demand, optimize inventory, and reduce waste. It can also streamline logistics and flag inefficiencies in day-to-day processes.

Sales / Customer Service → Lead scoring, call summaries, faster quoting.

  • AI can speed up quoting, personalize communication, and capture call notes automatically. It helps sales teams focus on relationships while customer service reps get tools that resolve issues faster and more accurately.

Leadership → Dashboards, strategic decision insights.

  • Leaders can use AI to surface insights hidden in sales, customer, and product data. Decision dashboards powered by AI make it easier to model scenarios, spot trends, and guide strategy with confidence.

4. The Human Side of AI

Change Management → Overcoming resistance, retraining, managing fears.

  • Adopting AI is more than adding a tool — it’s a shift in how people work. Success depends on preparing your teams for change. Communicate clearly why AI is being used, involve employees early, and provide training so people see AI as a support, not a threat. Strong change management helps overcome resistance and builds confidence across the organization.

Vendor / Software Selection → What to ask before choosing.

  • AI solutions move fast — and not all vendors are equal. Before selecting a partner, ask: Who owns the data? How is it secured? How fast does the vendor adapt to changes? Look for partners who understand distribution, offer transparency, and can evolve with your needs. Choosing wisely saves time, protects your data, and sets up long-term success.

Data Privacy & Security → Risks to Avoid.

  • AI is powerful, but it comes with risks. Uploading sensitive data into public tools can expose customer information or pricing lists. Establish clear policies on what employees can and cannot share with AI platforms. When evaluating enterprise AI, ensure the vendor’s privacy, security, and compliance standards meet your company’s requirements. Protecting your data must always come first.

Workforce Impact → Shifts in roles, preparing people.

  • AI is reshaping the workforce. Some roles will change dramatically or even be eliminated, while new opportunities will emerge. Distributors who prepare now — by identifying which jobs are most likely to be impacted and investing in retraining — will adapt more smoothly. The goal is to anticipate disruption and position your people where they can add the most value.