Hardware & Building-Supply Retail

AI for retail, built for hardware and building-supply stores.

We encode the rules your team carries in their heads — pricing exceptions, count tolerances, tag-labor thresholds — inside the systems you already run.

  • AI implementation services
  • Independent co-ops and regional chains
  • Built inside your existing POS/ERP

Built with the leading AI platforms

NVIDIAAnthropic
Peter Enestrom, founder of Zaigo

Led by Peter Enestrom and the Zaigo AI & engineering team

YaleColumbia UniversityMicrosoft

The pain map

Margin leaks one price change at a time.

From owners, ops managers, and pricing leads inside independent hardware co-ops and regional chains — all running Epicor Eagle-class POS/ERP as the system of record.

  • The weekly Excel everyone actually reads

    Built by hand and emailed to the org — the thing everyone actually reads: 5,700 price changes across 19 stores, no clear view of margin gained versus lost.

  • Prices set somewhere else

    The co-op sets half the prices — no database against the big boxes, just the wholesaler’s ~1.15x baseline — and one contractor can be a third of a store’s business.

  • Markdowns that swallow promos

    Clearance markdowns overwrite advertised promos under one ERP markdown flag, and underwater SKUs — replacement cost below weighted-average cost — stay invisible without four cost columns side by side.

  • Counts nobody trusts

    Count error rates run 30–40% with variances hand-keyed from paper into the PIP file, and inventory accuracy sits near 75% against a 95% best-in-class bar.

  • Tags faster than hands

    Changes stop at zero on hand, but tags still queue up; special orders never picked up become hundreds of thousands of dollars of product no one will buy.

Where AI pays

The workflows worth encoding first.

Potential workflows to assess around your pricing rules, count tolerances, and store capacity. Data access and review requirements determine the build scope.

Peter Enestrom, founder of Zaigo
Who builds it

Led by Peter Enestrom.

Co-Founder — leads AI & Engineering

Pete Enestrom

Every engagement is led personally by Pete, working with the Zaigo AI & engineering team from the two-week audit through the production handover. The person who scopes the work is the person who builds it.

Education
Yale & ColumbiaGraduate
Background
Microsoft & IntelFormer
Experience
Exited FounderVenture-Backed

Background

Questions

Asked by owners, ops managers, and pricing leads.

The straight answers, before you book anything.

What’s holding your business back?

A workflow ready for automation. An AI product you want to build. A problem that has sat on the roadmap for years. Let’s talk about what it would take to solve it.

Talk to Zaigo