Empire Machinery & Tools

This is not a generic pitch deck. These numbers are built from Empire's publicly available data: your team size, territory coverage, equipment catalog and current quoting process. Adjust any assumption and the math still works.

Today

4 reps + Sean quoting manually

2-3 days

Average time from inquiry to configured quote (machine + tooling + freight + install + financing)

After-hours inquiries wait until morning. FABTECH leads cool within weeks. Used equipment quotes are fully bespoke every time.

With Your AI Team

Same 4 reps, AI handles the build

15 minutes

AI drafts the configured quote. Rep reviews, adjusts and sends. Same quality, fraction of the time.

Every inquiry gets an instant intelligent response 24/7. Used arrivals auto-match past inquiries. Leads get persistent follow-up until answered.

Quote Speed = Revenue Speed

Estimated quotes per rep per week (modeled estimate: industry benchmark for equipment distributors with 35+ brands) 8-12

Time per configured quote today (machine + tooling + freight + install + lease calculation) (modeled estimate: based on configured-quote complexity with multi-line items and financing) 2-4 hours

Time with AI-drafted quote (rep reviews and sends) 15-30 minutes

Hours saved per rep per week (modeled estimate: derived from quote time reduction above) 12-28 hours

Hours saved across 5 quoters per week 60-140 hours

That is the equivalent of 1.5-3.5 full-time hires

The Lead Response Gap

Leads contacted within one hour are nearly 7x more likely to qualify (a meaningful conversation with a decision maker) than those contacted even an hour later (Oldroyd, McElheran and Elkington, "The Short Life of Online Sales Leads," HBR, March 2011. 1.25 million leads across 42 companies.) 7x

More than 60x more likely than firms that wait 24+ hours (same study) 60x

Your after-hours coverage today Zero

With AI team: response time any hour Under 60 seconds

B2B exhibitors devote 41% of their marketing budget to exhibitions, more than any other channel (CEIR, 2018 Marketing Spend Decision Report, survey of 424 exhibitors) 41%

With AI follow-up: every FABTECH lead gets persistent contact until answered 100%

Conservative Revenue Impact

Current estimated revenue (Dun & Bradstreet) ~$5.6 million/year

If faster quoting closes just 2 more deals per month (modeled estimate: 2 additional deals/month at $15,000 average deal size) +$360,000/year

If after-hours response captures 1 deal per month you currently miss (modeled estimate: 1 after-hours deal/month at $15,000 average) +$180,000/year

If FABTECH follow-up converts 5 extra leads per show (modeled estimate: 5 converted leads across 2 shows/year at $15,000 average) +$150,000/year

Conservative annual upside (modeled) +$690,000

What It Costs

Pyonair AI Team (quoting + leads + follow-up + AEO) Discussed on call

Hiring 1 additional sales rep (salary + benefits + ramp time) $65,000-85,000/year

What the AI team replaces in labor hours 1.5-3.5 FTEs

What Is Already Built for Empire

This is not a pitch for something we might build. This is what exists today with Empire branding, your product categories and Manitoba tax rates already loaded:

Phase 1 (live now): Configured quoting across new and used equipment. Machine + tooling + freight + rigging + install + training + lease-to-own calculator. Pipeline dashboard. Quote lifecycle tracking.

Phase 2 (ready to build): Lead Command Center. Instant response to all inbound channels. After-hours AI coverage. FABTECH lead capture and nurture sequences.

Phase 3 (ready to build): Spec Matcher. Customer describes the job in plain language, AI maps to the right machines. Used inventory auto-matching.

Phase 4 (ready to build): Review generation. AI visibility optimization. Content calendar across your 4 social channels.

Assumptions and sources: Revenue from Dun & Bradstreet public profile. Team size from Empire's website and LinkedIn. Quote volume estimated from team size and industry benchmarks for equipment distributors. Average deal size of $15,000 is conservative for industrial metalworking equipment. Time savings based on configured-quote complexity (multi-line items + financing calculations). "7x more likely to qualify" (defined as a meaningful conversation with a key decision maker) from Oldroyd, McElheran and Elkington, "The Short Life of Online Sales Leads," Harvard Business Review, March 2011 (1.25 million leads across 42 companies). "60x vs waiting 24+ hours" from same study, distinct baseline from the 7x figure. Trade show marketing spend (41%) from CEIR 2018 Marketing Spend Decision Report (survey of 424 B2B exhibitors, a self-selected group who already exhibit). All modeled estimates are directional projections and will be refined with Sean's actual data on the call.