AI doesn’t have to mean a major technology overhaul. From preparing for customer meetings to uncovering sales opportunities, here 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? You don’t need to reinvent your processes or become an AI expert to start seeing value.
The biggest thing to remember: AI isn’t here to replace distributor expertise. It’s here to help your team spend less time gathering information and more time putting that expertise to work.
Here are seven practical places to start.
1. Walk Into Every Customer Meeting Better Prepared
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 most important takeaways from a previous customer meeting.
- Research a prospective account’s business and 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 less time searching for information and more time having meaningful conversations with customers.
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 useful prompt:
“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. AI can help make the work before and after those events more productive.
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 starts to move beyond basic productivity and into real business value.
Distributors already have enormous amounts of useful information sitting in their ERP and CRM systems: customer purchasing history, quotes, orders, inventory, open opportunities, and sales activity.
The challenge is turning all that information 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.
The real opportunity isn’t simply generating more reports. It’s helping sales teams recognize what deserves their attention and what to do next.
5. Give Sales Leaders Faster Answers Without More Reporting
Sales managers and executives need a clear view of what’s happening across the business. But getting those answers often involves waiting for reports, digging through dashboards, or asking someone to pull together data from multiple sources.
AI can make business intelligence more accessible.
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 help analyze performance, summarize trends, build dashboards, and highlight areas that need attention.
This makes it easier for leaders to move from reviewing information to making decisions.
It can also make BI more useful for people who aren’t comfortable building complex reports themselves. They can simply ask the business question they need answered.
6. Make AI Useful Beyond the Sales Department
While sales teams have plenty of opportunities to benefit from AI, they aren’t the only ones.
Across a distribution business, there are repetitive tasks and information-heavy processes that AI can help simplify.
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.
Sales leadership can analyze account trends, review pipeline activity, and prepare coaching recommendations.
The best place to start isn’t necessarily the most sophisticated application. It’s often the task your team repeats every day that takes more time than it should.
7. Start Small, Ask Better Questions, and Build from There
The real value from AI starts with knowing how to ask the right questions, and create the right prompts.
A vague prompt produces a vague response.
Instead of asking AI to “write a sales email,” try something more specific:
“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 the final decision.
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 draft emails, summarize notes, and prepare for meetings is a great start.
But for distributors, some of the biggest opportunities emerge when AI can work with the business information already stored in their ERP, CRM, and BI systems.
That’s the thinking behind Rubber Tree Systems’ new AI capabilities, designed to make it easier for distributors to ask questions, analyze performance, uncover opportunities, and take action using their existing business data.
Rubber Tree Systems is introducing two ways to bring AI into everyday workflows.
RTS Embedded AI: AI Built Right Into Your Workflow
With RTS Embedded AI, teams can access AI directly inside Rubber Tree Systems without purchasing or managing a separate AI platform.
Users can generate account summaries, review sales history, analyze purchasing trends, identify opportunities, and create reports and dashboards using data already available within Rubber Tree Systems.
For sales reps, that could mean preparing for a customer meeting with a more complete view of the account.
For leadership, it could mean getting faster answers about customer performance, pipeline trends, or areas that need attention.
RTS AI Connector: Use the AI Platform You Already Have
For organizations already using an enterprise AI platform, the RTS AI Connector offers another approach.
The connector allows supported AI platforms to securely access Rubber Tree Systems data and functionality through an MCP server, while respecting user permissions.
Teams can use their existing AI tools to ask questions about customer activity, analyze business trends, compare information, and even perform supported actions within Rubber Tree Systems.
That could include matching open quotes to opportunities, updating pipeline records, analyzing vendor pricing files, or building reports and forecasts.
Instead of introducing another disconnected tool, AI becomes another way to work with the information your business already depends on.
Make AI Part of the Way Your Team Works
AI adoption doesn’t have to happen all at once.
Start with one task. Help your sales team prepare for customer meetings faster. Make follow-up easier. Find a more efficient way to answer a recurring business question.
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.