Agentic AI for retail teams

Anyone can build.
Everything compounds.

Layerr turns plain language into real retail software. Start with the workflows only Excel holds today: comp, reconciliation, forecasting, or anything else your team runs by hand. Once it's built, it answers its own questions.

Build a compensation program with bi-weekly periods and 7 KPIs
No engineers needed Hard workflows welcome Questions answer themselves Keep your stack
The problem

Retail runs on software nobody can change

We came from retail, and the pattern is everywhere: the business runs on software, spreadsheets, and tribal knowledge, with people swiveling between all three to get anything done.

01

The logic lives in spreadsheets

Comp formulas, reorder math, forecast rules, all sitting in one analyst's workbook. Versioned by email. Broken by vacation.

02

Point tools don't share context

One tool for audits, one for comp, one for scheduling, and the answers stuck in private chat windows. Nothing shares context, so people become the integration.

03

The field waits for answers

Reps ask payroll why the check changed. Store leads dig through five reports for one number. Every question becomes someone's ticket.

The bottleneck was never the ideas.
It was who gets to build them.

What if one system joined every process, and anyone could build on it? That's Layerr: anything you'd run in Excel, built by your team in plain language, with the messy parts handled.

See how Layerr removes it
How it works

One sentence in. Working software out.

01
Day one

Start with a manual process

Pick whatever the spreadsheets and swivel-chairs are holding together: the comp math, the reorder loop, the audit walk. If a person can run it manually, it qualifies.

02
Minutes later

Tell Layerr how it works

Type it the way you'd explain it to a colleague, in your team's workspace, on live company data. Layerr drafts the workflow: screens, logic, permissions. It shows its work. You refine in plain language; the messy parts are handled for you.

03
Week one

Field-ready software comes out

The back office gets a workspace for their analytics and processes. An app provisions for the field instantly—with automatic RLS—so every store sees what motivates them. And any question on the topic gets an instant breakdown and reply, or an escalation.

04
Every build after

It's all passively agentic

What you build isn't software with AI sprinkled on top: it is AI. Your workflows ask the hard questions when numbers drift, schedule the business review loop, and chase their own follow-ups. Every build joins one connected context, so any question from anyone in the org gets an accurate answer, and the tenth build lands faster than the first.

Watch it work in the background
In the background

Building software with AI isn't AI.
Agentic software is.

Chat on your data is useful, and AI can write ordinary software fast. The power is what comes after: apps that take a standing instruction and keep executing it in the background. Say it once, and the work keeps happening.

Five loops at one retailer
01 · Something happens
Store 12 submits a damage claim form
Forms · 8:41 am
02 · A skill fires
The claims skill checks the policy and two similar past claims
no prompt · fired by the form
03 · Work comes back done
A drafted response waits in the inbox
ready to approve · 90 seconds later

Loops run on the context your builds create. The more you build, the more they can carry.

Where this comes from

We asked before we built

"Before building Layerr, we interviewed more than 10,000 retail locations."

Every company ran the same way: dashboards, tribal knowledge, fixed software vendors, and Excel workbooks. Layerr is the tool those interviews asked for — built for the people who own the process.

What they asked us to build
Compensation Comp modeling Spiff calculations Reconciliation Cash reconciliation Inventory ordering Aged inventory Onboarding Forecasting Single pane of glass Form analytics Form routing Auto follow-up Notifications Morning focus message Midday trends / send homes Goal setting Facilities management Facilities sourcing Proactive leasing 7i compliance NetSuite coding Modern intranet UPS delivery acceptance Data modeling Tasking the one we haven't heard yet
The product

Calm for the back office. Instant for the field.

One platform, two speeds: analysts get the full cockpit; a rep on the floor gets one number and one next step.

Bring one workflow.
Watch it become software.

A 30-minute call. We build the thing you describe, live, on your data. Start with one calculation or your whole app layer, your call.

No deck · no discovery phase · we'll reach out shortly to schedule