Electrical Distribution
EIS is one of the largest electrical distributors in North America. Their best reps were spending more time on quoting and order entry than actually selling. We built an AI layer that changed that.
The Challenge
EIS's top salespeople were the ones generating the most quotes — and spending the most time doing it. The quoting process required pulling data from multiple systems, checking inventory, calculating pricing, and manually assembling proposals.
The result: their highest-value people were buried in low-value work. Key account planning and relationship-building got pushed aside in favor of order entry and administrative tasks.
Quote assembly required data from multiple disconnected systems
Turnaround time measured in days, not hours
Reps spent more time on admin than selling
Slow quotes meant lost deals — competitors moved faster
What We Built
We didn't rip and replace anything. We built an intelligent layer on top of their existing systems — ERP, inventory, pricing — that could pull data, assemble quotes, and handle the repetitive work that was eating up their reps' time.
The AI handles the grunt work. Reps review and send. What used to take days now takes hours. And the time they got back goes straight into the activities that actually grow revenue — building relationships and planning key accounts.
Before
1. Customer requests a quote
2. Rep pulls data from ERP
3. Checks inventory across warehouses
4. Calculates pricing and margins
5. Manually assembles proposal
6. Reviews and sends
Timeline: 1-3 days
After
1. Customer requests a quote
2. AI pulls data, checks inventory, builds proposal
3. Rep reviews and sends
Timeline: hours
The Outcome
What used to take days now takes hours. Customers get quotes faster, and deals close before competitors can respond. The speed advantage alone changed their win rate.
Reps got half their time back. That time went into relationship-building, strategic planning, and the high-value activities that actually drive revenue growth.
The system learns from every quote. It gets faster at pulling the right data, better at assembling proposals, more accurate at pricing. The longer it runs, the more time it gives back to the team — and the wider the gap grows between EIS and competitors still doing it manually.