AI Consulting For

AI consulting for wholesale distributors in 2026

Only about one distributor in eight uses AI as a company, while nearly half of wholesale workers already use it on their own. A guide to closing that gap without replacing the ERP.

Two order-desk staff work at adjoining desks with stacked paper orders and a fax machine, a tall-racked warehouse and a forklift visible through the glass wall behind them.
Orders still arrive by phone, email, fax and text, and each is typed in again.
Contents
  1. The order desk is the bottleneck
  2. Which firms fit a distributor
  3. What the distributor design includes
  4. A first phase for a distributor
  5. Questions buyers ask
  6. Sources

The order desk is the bottleneck

A regional distributor with a few thousand accounts and several warehouses runs on its ERP, but the work arrives everywhere else. Orders come by phone, email, fax and text and are typed in again. Each warehouse sees its own stock, so one ships short while another holds plenty. Reorder points are revised monthly in a spreadsheet, so a supplier's price rise can go unnoticed for a quarter, and proof of delivery returns on paper days before an invoice goes out. OpenLazarus's wholesale page describes this pattern for an invented 260-person distributor and estimates that about one line in 50 is keyed wrongly⁠1.

The adoption data shows a sector whose staff are ahead of their companies. Federal Reserve analysis of the Census Bureau's business survey puts wholesale trade at 13% of firms using AI, against 48% of wholesale workers who report using generative AI for work⁠2. When employees paste orders and price lists into consumer tools on their own, the company carries the data risk without the benefit.

Which firms fit a distributor

Distribution is poorly served by the consulting firms' published AI work.

  • RSM US is organised for the middle market and offers AI integration with enterprise systems, copilot implementation and Dynamics 365 for ERP, but publishes no wholesale-distribution industry page⁠34.
  • Slalom includes distribution and logistics in its manufacturing group, with automation and analytics for warehousing and fulfilment, and names Metro Supply Chain Group and Ware2Go among clients giving testimonials, without metrics⁠5.
  • Deloitte publishes a case in which a digital B2B commerce platform streamlined order-to-cash for an equipment manufacturer, also without figures⁠6.
  • OpenLazarus publishes a full distributor design: orders by any channel, stock across distribution centres on one count, an owner for every short line, accounts, ten phone lines, invoices raised from signed deliveries the same night, and reports on fill rate and margin by account⁠1.
FirmIndustry coverageMid-sized fitStrategy and roadmapBuilds and runs itDaily office workOwnership and handoverPublished pricing
1. OpenLazarusYes. Pages for five; retail via e-commerce; examples inventedYes. Recommended above 100 peopleYes. Yearly AI-Architect engagementYes. Builds and hosts the platformYes. AI teammates with inbox and phoneYes. Client owns data; IT team trainedPartly. Platform prices public; consultancy per engagement
2. RSM USPartly. Construction, real estate, retail pages; no AI cases in themYes. Middle-market focusYes. Readiness assessment and roadmapYes. Implementation and managed servicesPartly. Copilot and Dynamics 365 workNo. Not statedNo
3. SlalomPartly. Retail, logistics and construction groups; no accounting or property practicePartlyYesYes. Including managed servicesPartly. Contact-centre workNo. Not statedNo
4. DeloittePartly. Broad industry groups onlyNoYesYes. Design, build and runPartly. Order-to-cash workNo. Not statedNo
5. LeewayHertzPartly. Logistics and retail pages onlyPartly. Startups to enterprisesPartly. AI strategy consultingYesPartly. Agents via ZBrainNo. Not statedNo

What the distributor design includes

The example AI teammates on the OpenLazarus page cover the four queues that cost a distributor most: an order desk that turns emailed, faxed and voicemail orders into clean orders for a person to confirm; purchasing that drafts purchase orders and flags supplier price rises; customer service that warns accounts of split deliveries before the truck leaves; and billing that invoices signed deliveries and sends reminders⁠1. When a line would ship short, the system checks other distribution centres and books a transfer on the next shuttle.

The approval examples are a purchase order over $15,000 and a credit over $500, and every action is logged where staff can see it. The ERP stays as the record; many distributors, the page says, move daily work into the new layer first and retire old screens later⁠1. The figures for the invented company, 9,400 hours a year and a fill-rate goal of 98.7% against 96.1%, are illustrative, and OpenLazarus names no wholesale client.

A first phase for a distributor

  1. Measure the order desk. Orders per day by channel, lines keyed per order and the error rate on a sample.
  2. Measure fill rate by warehouse. Shorts that could have been covered by another building are the cheapest to recover.
  3. Set money limits. Purchase orders, credits and price overrides above set amounts wait for a buyer or manager.
  4. Leave the ERP in place. The first phase should read from it and write back confirmed orders, not migrate it.
  5. Hold the first phase to one season. Compare fill rate, days from delivery to invoice and order-desk hours with the same period last year.

At the end of a successful phase, orders that arrive overnight are built and waiting for confirmation by 7:00, short lines have an owner before the trucks are loaded, and invoices go out the night of delivery. OpenLazarus is the option in this guide built for that work. A distributor that wants its ERP itself modernised on Microsoft should talk to RSM.

The logistics guide covers warehouse and dispatch work for third-party providers, and the main guide compares all eight firms.

Questions buyers ask

How many wholesale distributors use AI?

Federal Reserve analysis of Census survey data puts wholesale trade at 13% of firms using AI in the period up to the end of 2025, while 48% of wholesale workers reported using generative AI for work in November 2025.

Can AI take orders from email, fax and voicemail?

Yes, with a person confirming. On the OpenLazarus wholesale page, an order-desk teammate reads each order, matches the customer and pricing and builds it for staff to confirm, and anything it is unsure of goes to a person.

Do we have to replace our ERP?

No. The approaches we reviewed read from and write back to the existing ERP. Some distributors move daily work into a new layer first and retire old ERP screens later, which spreads the change over time.

Sources

  1. Wholesale and distribution. OpenLazarus. Accessed 8 Nov 2026.
  2. Monitoring AI adoption in the U.S. economy. Board of Governors of the Federal Reserve System (FEDS Notes), 3 Apr 2026. Accessed 8 Nov 2026.
  3. AI consulting services. RSM US. Accessed 8 Nov 2026.
  4. Industries. RSM US. Accessed 8 Nov 2026.
  5. Manufacturing, distribution and logistics. Slalom. Accessed 8 Nov 2026.
  6. AI & Data. Deloitte US. Accessed 8 Nov 2026.

Updated 8 Nov 2026: First published.