Option A
Company-wide AI adoption
A roadmap and hands-on training, so your team knows where AI fits and uses it with confidence. Includes the AI readiness assessment, a prioritized opportunity list, and usage policy and guardrails.
Industrial distribution
AI that pays back in distribution
Small AI tools that each do one job, built on the ERP, CRM and email you already run. Measured in hours, errors and cash, not promises.
01The math
At a 4% net margin, $100,000 of cost is worth $2.5 million of sales
Industrial distributors run on thin margins, so a modest operational gain carries more weight than it looks. Most of that money sits in the gaps between systems you already own: the PO typed in by hand, the export that gets re-keyed, the spreadsheet that holds the real process.
A $50 million distributorIllustrative
- Revenue
- $50.0M
- Gross profit at 22%
- $11.0M
- Cost of goods sold
- $39.0M
- Net profit at 4%
- $2.0M
- Inventory at 3.5 turns
- $11.1M
- Turns on cost of goods sold
What a controllable gain is worth
$2.5M
$100,000 of admin and rework taken out
Net profit up 5%, from $2.0M to $2.1M. The same profit as about $2.5M of new sales.
$1.4M
Inventory turns from 3.5 to 4.0
About $1.4M of cash released from the warehouse.
1,500 hrs
A 40-hour weekly task brought to 10 hours
About 1,500 hours a year back for selling and service.
Illustrative arithmetic, not a client result. Assumes a 22% gross margin, a 4% net margin, and 3.5 inventory turns on $39.0M cost of goods sold. Every business differs; a first conversation replaces these assumptions with your own figures.
02Who’s behind it
Built by someone who knows distribution from the inside
Mahesh Yegnaswami spent 28 years at 3M, including directing its global distribution model for B2B industrial products, and more than 20 years working alongside industrial distributors. WSI Swami Group pairs that experience with WSI’s 30 years in digital and a bench of AI engineers who build and deploy for specific use cases.
03Two ways we work
Start company-wide, or start with one process
Option B
One focused build, to prove results first
You pick the process that costs the most today. A forward-deployed engineer works side by side with your team and builds an AI layer on top of your existing ERP and CRM. Nothing gets replaced, and your team checks the results before anything goes live.
04Results
Results from delivered work
From
2–3 years
To 20 days
900 product pages rebuilt
Interwest, road safety equipment distributor
900 product pages rebuilt in 20 business days. The agency before had been finishing about one a day, with two to three years left to go.
From
2 weeks
To 2 hours
Billing cycle
Commercial cleaning franchise
A two-week billing cycle cut to about two hours, removing 200 hours a month of re-keying between two systems.
From
5,000+ calls
To CRM data
Zero manual tagging
Manufacturer with 17,000+ SKUs
5,000+ sales calls turned into CRM data with zero manual tagging. The client came back for two more projects.
From
Hand-keyed orders
To 30–38 hrs
Returned to the team every week
Utility installation contractor
30 to 38 hours a week returned to the team by having AI read incoming orders and contracts.
05Where AI pays off
Six places distributors lose the most hours
01
Product data and catalog
Clean item masters and supplier files turned into web-ready items
02
Order intake
POs from email, fax and PDF read, matched and staged for approval
03
Inventory and purchasing
Shortfalls and overstock flagged by branch, weeks ahead
04
Pricing
Invoices checked against contracts, and competitor prices tracked
05
Sales and service
Every call logged to the CRM, and stale quotes followed up
06
Billing and rebates
Systems bridged without re-keying, and rebate claims prepared
06The process
How it starts
A first conversation about money and time.
Where the largest spend sits, which task repeats every week, and which process lives in one person’s head.
A first build on one process.
The process with the clearest payback. Your team checks the results against how they do it today.
A roadmap and a dedicated engineer.
Once the first build proves out, an engineer works through a prioritized list. Each build adds to the last.
07Principles
Our ground rules
Your systems stay.
We connect to your ERP, CRM and email.
People stay in charge.
Your team approves anything that commits money or reaches a customer.
You own what we build.
The workflows, data and tools belong to your business.
Works on any AI platform.
Microsoft Copilot, ChatGPT or Claude.
Which weekly task would your team stop tomorrow if they could?
Twenty minutes, no pitch deck. Bring that task and your numbers, and we’ll tell you straight whether AI is worth it.