Distributors and manufacturers are sitting on years of untapped business intelligence. It’s in your inbox.
Jeana Bolanos · President, SalesE
When executives talk about AI, the conversation usually arrives at some version of: “We don’t have enough clean data.” It’s a common (and important) reason companies put off AI projects.
There are two important classifications of data, structured and unstructured. At a high level, think of structured data as numbers and descriptions that can be organized in a spreadsheet. Unstructured data are things like emails, faxes, PDFs, logs, etc. This unstructured data is what we are overlooking.
It’s in the email your inside sales rep sent three months ago when a customer pushed back on pricing. It’s in the customer service ticket where a buyer mentioned they were evaluating a competitor. It’s in the sequence of orders that quietly shrank from weekly to monthly before the account went dark. It’s in the chat message where a customer asked if you carried something you don’t stock (three times in one quarter).
This is unstructured data. It doesn’t live in rows and columns and it won’t show up on your dashboard. But it contains actionable intelligence and nuance regarding your customers, pricing, and demand patterns in a way that your structured systems just can’t capture. And for distributors and manufacturers, it’s market intelligence that can make your team more effective.
So you definitely have the data, but what are you doing with it?
What unstructured data contains
Structured data tells you what happened. Unstructured data tells you why and what’s about to happen next.
Your ERP knows a customer ordered 200 units last quarter. Your email knows they asked whether you could do better on price if they committed to 500. Your ERP shows the order. Your email shows the negotiation that shaped it, the hesitation that preceded it, and the alternative they were considering.
Most companies have years of this sitting in inboxes, customer service platforms, and communication logs, largely unsearchable, typically unanalyzed, and very disconnected from any business decision. The average distributor processes thousands of customer interactions per month. Almost none of that valuable insight makes it into strategic and daily business decisions.
Five places the intelligence is hiding
Pricing signals in customer conversations
Every time a customer pushes back on a quote, asks for a discount, or mentions a competitor’s price, they are giving you pricing intelligence. Aggregated across hundreds of conversations, those signals tell you where your pricing is creating friction, which customer segments are most price-sensitive, and where you have room to hold margin without losing the deal.
Demand patterns in order communication
Order emails, purchase confirmations, and reorder requests contain timing and volume patterns that your ERP captures incompletely. A customer who historically emails to ask about lead times before placing a large order is signaling intent before the order exists. A cluster of customers asking about the same product category in the same two-week window is an early demand signal. These patterns are invisible in structured data but readable in communication logs if you’re looking systematically.
Churn signals in service interactions
Customer churn rarely happens suddenly. It builds. A customer who used to call with questions stops calling. Complaint frequency increases before order frequency decreases. Response times to your team’s follow-ups get longer. These behavioral shifts show up in your service logs and email threads before they show up in your revenue numbers. Catching them early means you have time to act.
The expertise that leaves with people
Every distributor and manufacturer has them. The inside sales rep who has been there for twenty-two years and knows, without looking anything up, that a particular customer always orders heavy in Q3 because of their own seasonal cycle. The customer service manager who can tell from the way a complaint is worded whether it’s a one-time frustration or the beginning of a serious relationship problem. That kind of expertise is built through thousands of interactions and it lives in the communication history.
This institutional knowledge is one of the most valuable competitive assets most companies have and it is almost entirely undocumented.
Natural language access to your data
Once your unstructured data is organized and queryable, your team and your customers can ask plain-language questions and get answers in seconds. A customer service rep can type “what did we promise this customer about lead times last quarter” and get an answer drawn from log or email history. A sales manager can ask “which accounts haven’t reordered in 90 days but were ordering monthly before that” and get a list. A customer can ask “can I get a price for 10 units of the blue widget that I bought last year” and get an accurate quote for the correct part.
Why this is more achievable than you think
Modern, intelligent tools can read and organize unstructured data without requiring it to be perfectly structured first. Your email doesn’t need to be in a data warehouse to be queryable. Your customer service logs don’t need to be reformatted to be analyzed. The technology has matured to the point where the starting point is your existing data, in its existing state, in your existing systems. No platform migration, no new tools.
The realistic starting point for most mid-market distributors and manufacturers is a single use case. Pick the one where the pain is clear. Build something that works with your current data. Prove the value. Then expand.
You don’t need a perfect data strategy before you start. You need a specific problem and a willingness to look at data you’ve been overlooking.
A couple simple ways to start
Coordinate with IT to stop deleting email accounts 1 year (or predetermined timeframe) after an employee leaves. Keep them as long as possible.
Formalize customer service logs and increase retention time. If you aren’t systematically capturing customer service conversations, start now. If you have a retention time for these records, extend it. These logs are worth their weight in gold.
The data is already there. It’s been accumulating in your systems for years. The only question is whether you put it to work or to leave it in the inbox.
*Before taking any action, ensure that your actions and policies align with GDPR guidance and comply with your company data privacy and security policies.
| Start with the data you already have Want to explore what this looks like for your business? The intelligence is already there — in your inbox, your service logs, and the heads of your longest-tenured employees. Let’s talk about how to put it to work. Visit salese.com to learn more |
