Product · Live Pilot

A 90-day pilot at a fixed fee,
with +2% EBITDA on the table.

Run Ward on your real POS, labor, finance, inventory, and ERP data. First insight cards in 48 hours, loop closed within a quarter. Success metrics agreed up front.

0 hrs
First insight cards

From a read-only connection to your warehouse, ERP, and POS, Ward surfaces the first findings within two business days. Full stack online inside a week.

0
Days, end to end

Detection, attribution, action, outcome. The full loop, tested on your data and your stack. KPIs and close criteria signed before kickoff.

0%
Target EBITDA improvement

Conservative target across margin, labor, and shrinkage: ~30 bps fill, ~50 bps assortment, ~80 bps shrink, ~40 bps promo. The math sits on the table before you sign.

What happens, and when.

The same four dates and the same number quoted on every other page of this site.

  1. 48 hours
    First insight cards

    From a read-only connection. Findings on your own data, not a sandbox and not a slide.

  2. Week 2
    Findings ranked by dollars

    Stores, SKUs and vendors ranked by what they cost you, with the cause named and the SQL one click under every number.

  3. Week 6
    First gated write

    One playbook, one system of record, blocked on an approver role you named. Everything before this is read-only.

  4. Day 90
    The number, either way

    Measured KPI delta against the metric agreed on day one. If it did not move, the pilot ends.

What it costs
$24K – $240Kper year

Tier follows stack complexity: how many systems have to talk to each other, how many brands you run, and how custom your schema is. Not headcount, and not revenue.

  • Month-to-month, 30 days notice
  • No rollover clause
  • Every tier is the full platform

What the pilot proves

Detection isn’t the gap. Every retailer has dashboards. What’s missing is the loop: detection → attribution → action → outcome, on real data, in production. The pilot proves it in 90 days, on your stack and your KPIs, with your finance team in the room.

01
Full data stack connected
POS, labor, finance, inventory, and ERP, read into one layer and correlated. Read-only throughout.
02
Your agents running continuously
One agent per domain: revenue, stores, finance, inventory, supply chain. Each runs a written charter, every edit logged with name and approver.
03
Outcomes measured
Every outcome feeds back. Forecasts backtested against the prior 24 months on each refresh.
“The $1.8T AI market is here. The question is whether your tools connect insight to action, or just show you charts.”
Ward thesis, backed by McKinsey & Gartner research

The data case

$40B+
Revenue at stake from stockouts
Each year in the U.S. alone. AI demand forecasting reduces stockout rates by 20–50%.
IHL Group, 2023
2–4%
Margin improvement from AI pricing
Dynamic pricing and markdown optimization translating to tens of millions in incremental profit.
McKinsey, 2024
$112B
Lost to retail shrinkage in 2022
AI-based anomaly detection identifies loss patterns weeks earlier, cutting shrinkage by up to 20%.
NRF, 2023

See Ward across verticals

Two ways to start.

Run a fixed-fee pilot on your data, or talk to advisory about a broader engagement.

Your stores are generating data right now.

Ward turns it into +2% EBITDA, on a fixed fee, in 90 days.

Read-only to start · your LLM keys · SOC 2 Type II underway · or book a call directly

Find out what your data has been hiding.

Tell us about your operation. We’ll show you the problems Ward catches, and the ones your current tools miss.

Step 1 of 3
What are your goals?
Step 2 of 3
About your operation
Step 3 of 3
Your contact info