Industrial Distribution & MRO

Turn every inquiry into revenue.

Lily is InstaLILY's AI Forward Deployed Engineer for distributors. She learns your pricing, product data, branch rules, and approval logic, then deploys AI agents that turn fragmented leads - email, PDF, fax, voicemail - into clean insights, talking points, and quote-ready follow-ups inside the systems you already use.

Not a copilot. Not another system of record. AI that executes the work.

9:41

Action Cards

New leadsoutreachChurn riskre-engageWin-backpromo planReferral programincentivize

The problem today

Revenue leaks while reps do admin.

Every unanswered email and slow quote is lost revenue - and volume scales faster than headcount.
SKU and pricing complexity makes accurate quoting slow and error-prone.
Every unanswered email and slow quote is lost revenue - and volume scales faster than headcount.
SKU and pricing complexity makes accurate quoting slow and error-prone.
Every unanswered email and slow quote is lost revenue - and volume scales faster than headcount.
SKU and pricing complexity makes accurate quoting slow and error-prone.
Every unanswered email and slow quote is lost revenue - and volume scales faster than headcount.
SKU and pricing complexity makes accurate quoting slow and error-prone.
Every unanswered email and slow quote is lost revenue - and volume scales faster than headcount.
SKU and pricing complexity makes accurate quoting slow and error-prone.
Every unanswered email and slow quote is lost revenue - and volume scales faster than headcount.
SKU and pricing complexity makes accurate quoting slow and error-prone.

PO processing, order entry, and case handling eat rep hours that should go to selling.
Margin and cross-sell opportunities sit buried in the data, unseen.
PO processing, order entry, and case handling eat rep hours that should go to selling.
Margin and cross-sell opportunities sit buried in the data, unseen.
PO processing, order entry, and case handling eat rep hours that should go to selling.
Margin and cross-sell opportunities sit buried in the data, unseen.
PO processing, order entry, and case handling eat rep hours that should go to selling.
Margin and cross-sell opportunities sit buried in the data, unseen.
PO processing, order entry, and case handling eat rep hours that should go to selling.
Margin and cross-sell opportunities sit buried in the data, unseen.
PO processing, order entry, and case handling eat rep hours that should go to selling.
Margin and cross-sell opportunities sit buried in the data, unseen.

How it works

How Lily runs quote-to-order

Step by step

Inbound requests

Email, PDF, fax, web form, portal case.

See Lily in action

Inbound RFQ email / PDF

From maintenance@acmefab.com

To quotes@yourcompany.com

RFQ - Industrial Pumps

Please quote the attached line items. Needed by 5/23.

RFQ_Pumps_May.pdf (248 KB)

The system

Everything you need to run quote-to-order

What Lily does

Runs quote-to-order end to end

Generates accurate quotes from email, PDF, or fax on your pricing logic, then processes POs end to end and writes them back to your ERP.

Sharper reps, cleaner data

Surfaces next best action, margin, and cross-sell cues for every ISR, and powers product search on clean master data so the right SKU is always found.

Proof in numbers

$001Quote created by Lily
0 min02Response time
Seconds03PO processing
0x04Rep productivity
Thousands05Admin hours saved
Every quote06Margin opportunity surfaced

Speed that wins the deal

A complete $142,731 quote, built from an inbound RFQ, priced and margin-checked in about three minutes.

Capacity without headcount

POs entered in seconds, thousands of admin hours saved, and 2x rep productivity with a margin cue on every quote.

Integrations

Epicor Prophet 21
SAP
Oracle NetSuite
Infor

Salesforce
Snowflake
Oracle JD Edwards

Works inside your ERP

Quotes, orders, and cases write back to your distribution ERP.

Every intake channel

Email, PDF, fax, web forms, and portal cases in one flow.

Proof

Proven impact

Industrial automation & MRO

Within the first two months we had our first order come through our AI-based system, a historic moment. The automated emails were going back and forth and boom, we got a PO.

Foodservice parts distribution

97% parts accuracy vs GPT-4.1, 99% cheaper than GPT-5, 100K+ monthly searches via Part Predictor, and instant response from query to part.

Building-products distribution

$120M+ in incremental revenue in a pilot, 1,500+ territory managers live, and 250K+ hours saved annually.

Industrial process solutions

$491k in revenue recovered within 3 months, 99k+ SKUs enriched and attributed, and ~300 reps equipped with AI sales workflows.

Fasteners & industrial supply

+12% YoY revenue growth and $6M+ in incremental pilot revenue in 6 months. InstaSales surfaces each rep's highest-priority actions, flags churn risks and stalled quotes, and auto-captures visit notes into structured records.