Cogsy
Cogsy integration

Cogsy in Polar: never lose a sale to a stockout.

Connect Cogsy and your inventory, demand forecasts and reorder signals flow into Polar, blended with real sales velocity and margin. Polar flags the SKUs going out of stock and the ones tying up cash, so you reorder before you lose revenue, not after.

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Cogsy → Polar

Cogsy stock decisions priced in margin.

Days of cover, stockout risk and reorder signals from Cogsy blended with demand and margin, so what you reorder is a profit decision rather than a stock alert.
Days of cover
"What runs out, and when?"
Days on hand per SKU from real sales velocity, so risk is visible early.
days of cover
Stockout risk
"Which SKUs are about to go dark?"
SKUs tagged stock-out, at-risk or in-stock, ranked by revenue at risk.
stock-out · at-risk
Reorder signals
"What should I reorder now?"
Reorder suggestions based on velocity and lead time, blended with margin.
reorder suggestions
Demand forecast
"What will sell next?"
Demand forecasts read against real sales, not a spreadsheet guess.
forecast vs actual
Working capital
"What cash is tied up?"
Slow-moving stock flagged, so you free working capital.
cash in slow stock
Tied to margin
"Which stockouts cost the most?"
Revenue and margin at risk per SKU, so you prioritize by money.
revenue at risk
Setup Guide

How to Connect Cogsy to Polar.

Polar

A Polar account with Shopify

A Polar account with Shopify connected. This connector plugs in right next to your stack.

Connect your data →
Cogsy

A Cogsy account

API access to your inventory, forecasts and reorder data so the AI Data Engineer can build the connector.

Open Cogsy →

Polar's AI Data Engineer

Cogsy is ingested via the connector and blended with Polar's inventory planning and sales velocity.

1

Ask the AI Data Engineer for Cogsy ~ minutes

Plain language, no code.
Describe what you need from Cogsy in plain language. Polar's AI Data Engineer reads the Cogsy API, writes the connector and pipes the data into your warehouse as governed data, in minutes. No code.
2

Blend with sales velocity automatic

Stock meets demand.
Data blends with Polar's inventory planning, sales velocity and days-on-hand, and tags SKUs stock-out, at-risk or in-stock.
3

Reorder in time the payoff

Before revenue is lost.
See the SKUs about to run out and the cash tied up in slow stock, so you reorder before you lose revenue. Early testers cut stockouts by 35% and freed 20% more working capital.
Get started

Reorder before you lose the sale.

Ingest your Cogsy data with the connector and blend it with real sales velocity and margin.

Side by side

Cogsy plans stock. Polar ties it to revenue.

Cogsy forecasts inventory on its own, apart from your real margin and the rest of the business. So you know a SKU is low, but not how much revenue and profit are at risk. Polar blends it with sales velocity and margin so you prioritize by money.
Cogsy

Cogsy on its ownon its own

Cogsy+

Cogsy with Polarblended

Forecasts sit apart from real margin and revenue.
Inventory blended with sales velocity and margin.
Stockout risk without the revenue at stake.
SKUs ranked by revenue and margin at risk.
Reorder decisions not weighted by profit.
Reorder prioritized by money, not just units.
Nothing ties slow stock to working capital.
Slow stock flagged so you free working capital.
The Gap

The Cogsy connector is only half of it.

Once your Cogsy inventory and forecasts are clean and attributed inside Polar, you can use them wherever you already work. Ask Polar in plain language, pull them live through the Polar MCP, or schedule a snapshot into the report your team reads every morning.
Cogsy

Cogsy

inventory, forecasts, reorder
Polar

Polar

stockout risk, tied to margin

Ask Polar

Polar MCP

Scheduled reports

Featured Use Case

Stockouts caught in Cogsy, before they happen.

A stockout is invisible until it has already cost you: the SKU quietly hits zero, the ads keep spending, and the revenue simply does not show up.

Ranked by money

Tied to margin

SKUs prioritized by revenue and margin at risk, not just days of cover. Real sales velocity and lead time drive the forecast, next to margin.

Ask Polar, in plain language

No SQL

“Which SKUs run out this month, and what's the revenue at risk?” No SQL, no export.

Your Prompt Library

15 prompts a connected Cogsy unlocks.

Days of cover, stockout risk ranked by revenue, cash tied up in slow stock, and what to reorder.
Type
Audience
15 of 15
Get started · connect once · reorder in time

Never lose a sale to a stockout.

Ingest Cogsy through the AI Data Engineer and blend inventory and forecasts with real sales velocity and margin, so you reorder before you lose revenue.

Phase 1 plain languageConnect CogsyThe AI data engineer writes the connector to your inventory.
Phase 2 built for youBlend with velocityStock and forecasts blended with sales velocity and margin.
Phase 3 the payoffReorder in timeSKUs ranked by revenue at risk, before they run out.