ORS Nasco already had a CRM. Its sellers still had to leave that CRM and open other systems to get the information they needed. “We weren’t seeing the adoption we wanted,” said Tim Babco, CIO at ORS Nasco.
The team did not need another reminder to log in. It needed software that fit the way a distributor sells. ORS Nasco replaced its old system with a distribution CRM that brought customer and product data into the seller’s workflow.
Most adoption problems start with the way distribution technology is built. ERP, CRM, PIM, ecommerce, pricing, and order-entry tools often operate as separate point solutions. The software may work, but people have to hold it together by rekeying data, reconciling records, and carrying information from one screen to the next.
A connected platform changes the job. It unifies the systems you already run into one brain and acts across the business, while each source system keeps doing what it does best. The platform handles the glue work.
Your people keep control of customer decisions and spend more time on work that needs a person.
Distributor technology adoption matters more in 2026. AI is moving from an experiment to an operating priority. In a 2025 survey of 300 distributors, McKinsey found that logistics optimization, inventory management, and demand and sales management ranked among the areas where distributors expected AI and analytics to have the most impact. Sixty percent of major public distributors had mentioned AI in recent company communications, and 25% called AI investment a strategic priority. McKinsey published the findings in June 2026.
The adoption gap is already visible in distribution. IFDA's July 2025 technology report, based on confidential surveys from 32 foodservice distributors, found that about one-third used generative or traditional AI. Nearly one-third of those AI users said the technology was less effective than expected. IFDA also reported that integration compatibility and budget remained top buying factors.
Starting up with AI is easy, but changing daily work is harder.
TL;DR
- Start with one job your rep already does, such as preparing for a call, following up on a quote, or finding a substitute.
- Give managers and respected peer champions the first hands-on training, then teach each role with its own accounts and workflows.
- Connect ERP, CRM, PIM, ecommerce, and other tools through one shared data layer instead of adding another isolated point solution.
- Measure completed workflows and business results. Login counts alone do not show adoption.
What is technology adoption?
Technology adoption is the regular, valuable use of a tool in the work it was bought to improve. A license is active when someone can log in. A tool is adopted when it changes what your people do next.
In your distribution business, adoption might mean an outside sales rep opens a call plan before a visit, an inside sales rep follows up on an aging quote, or a branch manager coaches from current account activity. The behavior has to connect to the job.
Adoption also has to survive the handoff between systems. A CRM can have active users while reps still leave it to check inventory, hunt for product data, or rekey an order in the ERP. The stronger measure is whether your connected system helps someone finish the whole workflow.
Gallup’s May 2026 workplace data shows the gap between access and use. Forty-seven percent of U.S. employees said their organization had integrated AI, while 30% used AI a few times a week or more. Only 25% said their organization had communicated a clear AI integration plan. Gallup’s AI indicator is broader than distribution, but the lesson travels: implementation does not guarantee adoption.
Why do technology rollouts fail in distribution?
Technology rollouts fail when the new system adds work before it creates value. A rep who has to rekey an order, wait for an overnight sync, or leave the CRM to check branch-level inventory will return to the ERP, spreadsheet, or notebook that already gets the job done.
Point-solution sprawl makes that problem worse. Each new tool may solve one department's problem while creating another login, data model, and handoff for the person doing the work. Every product can function as designed while the end-to-end workflow still fails.
Watch for these warning signs:
- The product tour starts with dashboards for management and skips the rep’s daily work.
- Training uses generic sample data, so nobody sees how the tool handles a real customer, SKU, quote, or territory.
- Pricing, availability, customer history, and open quotes live in separate systems.
- The rollout has an executive sponsor but no day-to-day owner.
- Managers ask for usage without using the tool in account reviews or coaching.
- A product or data problem gets treated as a change-management problem.
ERP integration is often the dividing line. Your ERP is the source of truth for customer-specific pricing, order history, inventory, and thousands of SKUs. New sales technology has to bring that data into the next action. See how Proton connects ERP, CRM, email, spreadsheets, and other distributor systems.
How do you increase technology adoption?
Increase technology adoption by making the new workflow easier and more useful than the old one, then reinforcing it through managers, peer champions, training, and measurement. Seven moves make that practical.
1. Start with a job people want to finish
Choose one repeatable job with visible value for your team. Good starting points include preparing for a customer visit, finding accounts that are due to reorder, following up on open quotes, logging a call from the field, or finding an in-stock substitute.
Write the before-and-after workflow in plain language. Count the screens, rekeyed fields, handoffs, and minutes. Then make the new path the shortest path.
A feature tour asks people to remember where buttons live. A workflow session ends with a finished call plan, quote, or follow-up.
2. Put managers and peer champions in first
Gallup found in May 2026 that employees with active manager support were 1.7 times as likely to use AI frequently. They were also 7.4 times as likely to say AI gave them more opportunities to do what they do best.
Train managers on the same workflows their teams will use. Ask them to run an account review, coach a quote follow-up, and answer a rep’s first questions in the system.
Then recruit respected inside sales reps, outside sales reps, and branch managers as champions. These “gurus” should test real workflows before launch, collect friction from peers, and show the team what worked. .
3. Train each role with its own work
Role-specific training gives each person an immediate answer to “What does this do for me?”
- An outside sales rep prepares for tomorrow’s visits, records a voice note from the road, and drafts the follow-up.
- An inside sales rep finds stale quotes, overdue reorders, and cross-sell opportunities while a customer is on the phone.
- A branch manager checks account coverage, reviews activity, and coaches the next action.
- A customer service rep finds availability and substitutes without asking three other people.
Use your own accounts, product categories, and sales process. Keep the first session narrow enough for everyone to complete the workflow themselves. Follow with office hours and short peer demonstrations built around questions that came up in the first week.
For a deeper rollout checklist, use Proton’s guide to technology rollouts and change management in distribution.
4. Make your systems act as one
People become the integration layer when systems do not talk. They copy a customer number from the ERP, look up a price in a spreadsheet, search an inbox for the last conversation, and enter the result in a CRM. New software that preserves those steps will struggle.
You probably do not need to rip out every system your business already trusts. You need those systems to share data and support one workflow. The ERP can remain the source of truth while CRM, PIM, ecommerce, email, and AI work from a connected data layer.
A system of action works differently from another point solution. A point solution stops at the edge of its own task. A system of action pulls the right data across the business, completes the next piece of work, and returns an approved result to the system of record. See how a connected distribution platform works on an ordinary Tuesday morning.
Map every dependency in your data before launch:
- Which system owns customer, contact, quote, order, pricing, and inventory data?
- How fresh does each field need to be?
- Can the rep finish the task without opening Prophet 21, Epicor Eclipse, Infor SX.e, NetSuite, or SAP?
- What happens when a price, ship-to, SKU, or product match is uncertain?
Fix the answer before expanding the rollout. Data quality and product fit are adoption work.
Once the systems connect, people can stop acting as middleware. Reps get more time with customers. Managers get more time to coach. Product and operations teams can apply judgment to exceptions instead of reconciling routine records. AI handles the glue work so your people can do the work that needs a person.
5. Keep a person in control of AI work
AI adoption introduces a specific concern: people want to know what the system did, which data it used, and what will happen after they click approve.
An isolated AI tool can create another queue for someone to manage. AI becomes more useful when it works from the same customer, product, pricing, and inventory data as the rest of the business and can return completed work to the right system.
Build the review step into your workflow. An AI agent can draft the call plan, write the follow-up email, match quote lines, or prepare an order. The rep reviews the work, corrects anything that needs attention, and approves the action.
Human review addresses the “big brother” objection directly. The system does the busywork and records the source. The rep makes the customer decision.
Proton’s Pronto AI agent works this way inside Proton CRM: it reads distribution data and drafts the next piece of work for a rep to review.
6. Roll out in controlled waves
A controlled wave gives you a clean place to find friction. Select a small group that matches your real user base, including a tenured rep, a willing skeptic, a manager, and people from the roles or branches that work differently.
Give that group a firm expectation for the chosen workflow. Collect what blocks completion. Fix the data, configuration, training, or product issue. Then widen the rollout with the corrected playbook.
Controlled waves also protect the first impression. If mobile access, branch inventory, account ownership, or quote data is still wrong for a team, hold that team until the workflow is ready. A rushed launch teaches people to leave.
If you are still choosing a platform, the 2026 CRM evaluation guide for distributors includes task-based demos and reference checks that expose adoption problems before a contract is signed.
For a CRM-specific rollout, see Proton's adoption tips for wholesale distribution sales teams.
7. Measure meaningful adoption
Measure the behavior that creates value. Time in the application and raw login counts are diagnostic data. They are weak success metrics because a person can stay logged in without finishing any work.
Use a small scorecard that connects your team’s behavior to an outcome:
- Activation: Did the user complete the first role-specific workflow?
- Weekly meaningful use: Did the user complete the chosen workflow again this week?
- Workflow completion: Did call prep, note logging, quote follow-up, or order review reach its intended end?
- Time to value: How long did it take a new user to finish useful work?
- Data and error health: Where did missing pricing, inventory, account, or product data block the task?
- Manager reinforcement: Did managers use the system in coaching and account reviews?
- Business outcome: Did quote response time, follow-up coverage, wallet share, order accuracy, or another agreed metric move?
Choose one or two business outcomes before your implementation. Record the baseline. Review the leading behaviors every week during rollout, then move the management conversation toward the result the software was bought to improve.
Build one system people want to use
AI adoption grows when your stack behaves like one system and that system handles work the team already needs to finish. That is bigger than CRM adoption. Customer, product, pricing, inventory, ecommerce, and order data need to work together across the distribution business.
Proton is the AI platform built exclusively for distributors. It unifies the systems you already run into one intelligent data layer and puts AI to work across the business. The ERP stays the source of truth. Proton CRM, PIM, ecommerce AI, and Order & Quote Entry Automation share the data and carry the workflow forward.
Your people stay in control. They review the work, handle the exceptions, and make the customer decision. Less glue work leaves more time for customers, judgment, and the relationships that keep a distribution business running.
See how that workflow fits your ERP and sales process. Book a Proton demo.
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