AI doesn’t have to mean a major technology overhaul. From preparing for customer meetings to uncovering sales opportunities, these are practical ways distribution teams can put AI to work today.
Artificial intelligence is getting plenty of attention in distribution, but for many businesses, the biggest question isn’t what AI can do someday. It’s what their teams can actually do with it right now.
The good news is, you don’t need to reinvent your processes or become an AI expert to start seeing value right away.
The biggest thing to remember: AI isn’t here to replace distributor expertise. It’s designed to help your team spend less time searching for information and more time putting their expertise to work.
So where can AI make a difference for your business? Here are seven practical ways to get started:
1. Spend Less Time Prepping and More Time Selling
A good sales rep knows their customers. A great sales rep walks into every conversation knowing what’s changed since the last one.
But pulling together that information takes time, especially when customer details are spread across your ERP, CRM, emails, and meeting notes.
AI can help sales teams prepare faster by summarizing relevant information, identifying questions to ask, and organizing talking points before a call.
For example, a rep could ask AI to:
- Summarize the key takeaways from a previous customer meeting
- Research a prospective account and their potential priorities
- Suggest discovery questions for an upcoming conversation
- Create a short meeting agenda based on the customer’s needs
Take it further: When AI is connected to your CRM and ERP data, preparation becomes even more valuable. Instead of relying only on publicly available information or manually entered notes, reps can access account history, recent orders, open quotes, activities, and opportunities in one place.
That means sales teams can move beyond generic conversations and speak directly to each customer’s needs, challenges, and opportunities. While other reps are asking the same standard questions, yours can deliver more relevant, personalized conversations that build trust and strengthen customer relationships.
2. Make Follow-Up Faster (and More Personal)
Between customer visits, phone calls, trade shows, and internal meetings, follow-up can quickly become a full-time job.
AI can take some of that administrative work off your team’s plate.
Tools like Fathom, Fireflies, and AI meeting assistants built into Teams or Zoom can help capture meeting notes, summarize conversations, and identify action items.
From there, generative AI can turn those notes into a follow-up email, organize next steps, or prepare an internal account update.
Here’s an example of a prompt you can use to speed things up: “Draft a friendly follow-up email based on these meeting notes. Recap the customer’s top priorities, include our three agreed-upon action items, and suggest a next meeting.”
The result still needs a human review, but the initial draft can be ready in a fraction of the time.
And when those summaries and activities become part of your CRM history, the value extends beyond one salesperson. The rest of the organization benefits from a more complete picture of the customer relationship.
3. Get More from Every Trade Show and Industry Event
For distributors and suppliers, industry events offer valuable opportunities to build relationships. Now, AI can help make the work before and after those events more productive and profitable.
Before the event: Use publicly available company information and approved attendee details to research target accounts, identify conversation starters, and create a prioritized outreach plan.
During the event: Prepare talking points, discovery questions, and product messaging tailored to different audiences.
After the event: Turn approved meeting notes into personalized follow-up messages and organize next steps for your sales team.
Instead of sending the same generic “great meeting you” email to everyone, AI can help reps follow up with relevant information and a clear reason to continue the conversation.
The key is giving AI enough context to make the output useful, while keeping the relationship and personal touch in the hands of your team.
4. Spot Sales Opportunities Hiding in Your Existing Data
This is where AI moves past basic productivity and into real business value. Your ERP and CRM already hold purchasing history, quotes, orders, inventory, open opportunities, and sales activity. The challenge is turning that data into something your team can act on.
Consider the questions a sales manager might want answered:
- Which customers have slowed their purchasing over the last 90 days?
- Where are there open quotes that haven’t been followed up on?
- Which accounts have opportunities to purchase additional product lines?
- Are there changes in buying patterns that deserve a closer look?
- Which opportunities should reps prioritize this week?
Traditionally, answering these questions can mean pulling multiple reports, comparing spreadsheets, or asking someone to investigate.
With AI connected to your business data, teams can ask questions in plain language, identify patterns, and get to relevant information faster.
It’s not about giving sales reps more reports to sift through. It’s about helping them see what matters, where to focus, and what to do next.
5. Give Sales Leaders Faster Answers Without More Reporting
How are sales performing?
Where are opportunities slipping through the cracks?
Which customers need more attention?
These are questions sales managers and executives need answers to every day. AI makes it easier to get those answers by bringing together information from across the business and turning it into insights they can actually use.
Imagine being able to ask:
“How is our sales pipeline tracking against our annual goals?”
Or:
“Show me which customer accounts have experienced the largest purchasing declines this quarter.”
When connected to accurate ERP and CRM data, AI can analyze performance, summarize trends, build dashboards, and flag what needs attention in minutes instead of days. Leaders get to decisions faster, without waiting on a report.
It also opens up BI to people who don’t build complex reports. Just ask a business question in plain language and get the answer straight away.
6. Make AI Useful Beyond the Sales Department
Sales isn’t the only team that can use a little help getting more done in less time, and the best place to start with AI isn’t necessarily the most sophisticated application.
From customer service to operations and accounting, every department has time-consuming tasks and everyday challenges that AI can make faster and easier. For example:
- Customer service teams can summarize customer inquiries, draft responses, and organize account details before returning a call.
- Operations teams can use AI to summarize processes, review information, and flag potential exceptions for further investigation.
- Marketing teams can brainstorm campaigns, repurpose content, draft customer communications, and prepare event follow-up materials.
- Sales leadership can analyze account trends, review pipeline activity, and prepare coaching recommendations.
Think about the tasks your team does every day that take up more time than they should. That’s often where AI can make the biggest difference.
7. Start Small, Ask Better Questions, and Build from There
Getting useful results from AI often comes down to how you ask for what you need. The more context and direction you give it, the better the response.
For example, instead of simply asking AI to “write a sales email,” try giving it a little more to work with:
“Rewrite this email for a skeptical CFO at a $200 million industrial distributor. Keep it concise, focus on business value, and end with a clear next step.”
A few practical habits can make AI significantly more useful:
- Be specific. Explain the task, intended audience, and desired outcome.
- Provide relevant context. Give AI enough background to understand what you’re trying to accomplish.
- Ask follow-up questions. Refine the response until it meets your needs.
- Create repeatable prompts. Save effective prompts or templates for common tasks.
- Keep people involved. Verify outputs and use your team’s expertise to make final decisions.
Just as importantly, follow your company’s AI policies. Avoid entering sensitive customer or company information into unapproved tools, verify important outputs, and start with low-risk applications.
The goal isn’t to use AI for everything. It’s to find the places where it can consistently save time or improve results.
The Next Step: Connect AI to the Data That Runs Your Business
Using AI to write emails, summarize notes, and prepare for meetings is a great start. But the real opportunity for distributors comes when AI can access the data already in their ERP, CRM, and BI systems.
That’s the idea behind Rubber Tree Systems’ new AI capabilities, which help teams get answers, spot opportunities, and take action using their own business data.
There are two ways we can help you put AI to work:
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RTS Embedded AI: AI Built Into Your Workflow
RTS Embedded AI brings AI directly into Rubber Tree Systems, without needing a separate platform.
Teams can ask questions about their business data, summarize customer accounts, review sales history, spot purchasing trends, and create reports and dashboards.
For sales reps, that means more personalized customer conversations. For managers, it means faster answers and a clearer picture of where to focus.
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RTS AI Connector: Bring Your Own AI Platform
Already using an enterprise AI platform? The RTS AI Connector securely connects supported AI tools to Rubber Tree Systems data through an MCP server, while respecting user permissions.
Teams can use familiar AI tools to analyze customer activity, compare trends, build forecasts, and take supported actions like matching quotes to opportunities or updating pipeline records.
It’s a way to get more value from your existing AI tools by connecting them to the data and workflows your business relies on.
Whether AI is built into your workflow or connected to your existing tools, the goal is the same: make your business data easier to access, understand, and act on.
Make AI Part of the Way Your Team Works
AI adoption doesn’t have to happen all at once. Start small by using it to help your sales team prepare for meetings, follow up with customers, or find answers to everyday questions.
Then look at how connecting AI to your ERP, CRM, and BI data can help you go further.
Because the real value of AI for distributors isn’t in generating more content or collecting more information.
It’s in helping your people make better use of the information they already have.
Ready to See What AI Can Do with Your Business Data?
Explore Rubber Tree Systems’ new AI capabilities and discover how Embedded AI and AI Connector can help your team work smarter, uncover opportunities, and get more from your existing systems.