Retail Pricing Analytics

Retail pricing analytics without the enterprise suite.

Independent and co-op retail runs on vendor hot sheets and one person’s memory — we encode cost-change detection, UOM traps, margin floors, and markdown timing.

  • AI implementation services
  • Every cost file read, every week
  • Your pricing rules, encoded
  • Fixed fee — no platform license

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 weekly price file

The costs change weekly. The rules live in someone’s head.

From pricing desks we have sat inside: owner-led hardware co-ops and independent retail groups running 20–25 stores, repricing tens of thousands of SKUs by hand.

  • Twenty thousand SKUs nobody reprices

    The weekly price file gets updated by hand — urgent items only — while tens of thousands of stale SKUs sit priced against costs that no longer exist.

  • The cost increase caught by luck

    A 155% distributor cost increase reached the shelf only because someone happened to notice — nothing reconciles what the item costs now against what the shelf says.

  • Underwater at replacement cost

    The margin report reads fine against average cost while the shelf price sits below replacement cost — the board hears a rate; the P&L loses dollars.

  • Buy by the box, sell by the each

    A unit-of-measure slip — formatted differently by every vendor — turns a 54¢ unit cost into an $84.99 shelf price, or quietly erases the margin.

  • Every store prices blind

    Store-level price elasticity is wanted and missing — no competitive database against the big box down the road, no test windows, no read on what customers will pay.

What manual costs

The margin leak is a line item, not a feeling.

Reported operating examples show where manual work adds up. Your audit establishes the workload, error rates, and costs in your business.

20,000Stale SKUs never repriced since the vendor hot sheets began
155%Distributor cost increase caught only by luck
189KPrice changes a year printed as physical shelf tags

From anonymized engagements — hardware co-ops and independent retail groups

How it works

We encode your exceptions.

No new system for your team to learn. The rules your best merchant carries in their head become the weekly batch.

  1. 01

    Encode the cost-file intake

    Every vendor cost file and hot sheet read the week it lands. Unit-of-measure traps — buy by the box, sell by the each — resolve against your item master.

    Weeks 1–2
  2. 02

    Write the pricing rules as code

    Margin floors by category, replacement-cost checks, markdown optimization and timing, elasticity windows by store — the tribal knowledge becomes a written rule set, yours to keep.

    Weeks 3–6
  3. 03

    Run the weekly batch

    Each week the cost file runs against your rules — violations land in an exception queue, and cost increases surface the week they land, not the quarter after.

    Every week
Not another platform

You don’t need a price-optimization platform. You need your pricing rules, encoded.

Retail price optimization suites are built for enterprise retail — enterprise price, enterprise team, a year of implementation. A 25-store group buys the platform and ends up running pricing in Excel anyway.

Elasticity models trained on national chains don’t see the big box down the road. We encode the rules you already price by — cost-change detection, margin floors, markdown timing — and our AI reads every cost file against them, weekly.

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 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