MLmargin
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How it works

The full inventory loop, in one tool.

Forecast demand, recommend the order, optimize the price — each piece earns its keep on its own. Together they replace the spreadsheet.

Forecast

Demand forecasting

Reduce time spent on demand planning. Pick the horizon that fits your operation, see confidence bands, drill into any SKU.

What it uses
  • Sales history per SKU (item ID, date, quantity, price).
  • Minimum one year of history is preferred for accuracy.
  • Upload as CSV, or let MLmargin pull data via Shopify or your existing ERP.
What you get
  • Daily, weekly, biweekly, or monthly forecasts.
  • Drill-down on each SKU for a focused view.
  • Seasonality recognition for fashion, holiday, and weather-driven categories.
  • Trend interpolation that adapts to your growth or decline.
How it works

Deep learning where the data is dense, classical ML where it's sparse — combined within a Reinforcement and Transfer Learning loop. The model adapts to your data, not the other way around.

MLmargin demand forecast chart for a single SKU
Reorder

Replenishment recommendations

Maintaining the right inventory level under shifting demand, lead times, and assortments is the hard part. We do that for you.

What it uses
  • The output of the demand forecast for each SKU.
  • Lead times, current inventory, on-order quantity.
  • Holding cost and unit price.
What you get
  • A recommended order quantity for every SKU, line by line.
  • Each recommendation balances stock-out risk against the cost of excess inventory.
  • Approve in bulk, override individual lines — the model learns from both.
How it works

Probabilistic optimization driven by reinforcement learning. The model evaluates a wide space of possible scenarios and converges on the action with the best expected outcome under your constraints.

MLmargin order quantity recommendation table
Price

Price optimization

Set price by elasticity and margin instead of intuition. Protect the margin you want without leaving revenue on the table.

What it uses
  • Demand forecast per SKU.
  • Sales margin and price elasticity history.
  • Macroeconomic indicators where available.
What you get
  • Recommended price per SKU, with the expected margin and volume tradeoff.
  • Scenario comparison: what changes at +5% / -5% / promo.
  • A price you can defend — with the math behind it.
How it works

The same probabilistic optimization framework as the replenishment engine, fed with elasticity-aware demand curves. The output is a price, not a recommendation tuple.

MLmargin price scenario screen
Connect

REST API & integrations

A clean REST API for data in and recommendations out — and a native Shopify app that handles the connection for you. Your existing ERP, warehouse, or BI stays where it is. We meet it where it lives.

What we connect
  • Shopify — native app, install in a click.
  • CSV upload — drag the file in, the model picks it up.
  • REST API — push sales, pull forecasts and recommendations from your own stack.
  • Custom integrations — your ERP, WMS, or BI tool. Tell us what you run.
Ask about an integration

Ready to take a look?

We're onboarding a small group of merchants ahead of public launch. Tell us about your business and we'll be in touch.

Contact sales or email sales@mlmargin.com