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Prediko integration

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

Connect Prediko 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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Connect Prediko See the setup
Google Sheets → Polar

What you can bring in

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

Prediko plans stock. Polar ties it to revenue.

Prediko 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.

Prediko on its own

  • Forecasts sit apart from real margin and revenue.
  • Stockout risk without the revenue at stake.
  • Reorder decisions not weighted by profit.
  • Nothing ties slow stock to working capital.

Prediko with Polar

  • Inventory blended with sales velocity and margin.
  • SKUs ranked by revenue and margin at risk.
  • Reorder prioritized by money, not just units.
  • Slow stock flagged so you free working capital.
Setup Guide

Bring Prediko into Polar.

01 · What you need
Polar

A Polar account with Shopify

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

Connect your data →
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A Prediko account

API access to your inventory, forecasts and reorder data so the AI data engineer can build a custom connector.

Open Prediko →

The AI data engineer

Prediko is ingested via a custom connector and blended with Polar's inventory planning and sales velocity.

02 · Bring Prediko into Polar
1

Connect with a custom connector talk to Polar

Inventory, forecasts, reorder.
The AI data engineer builds a custom connector to Prediko, ingesting your inventory, demand forecasts and reorder signals.
2

Blend with sales velocity built for you

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 Prediko data with a custom connector and blend it with real sales velocity and margin.

Book a demo Connect your data ↗
The Gap

The connector is only half of it.

Once your Prediko 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.
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Prediko

inventory, forecasts, reorder
Polar

Polar

stockout risk, tied to margin

Ask Polar

Polar MCP

Scheduled reports

Featured Use Case

Stockouts, before they happen.

Stockouts, 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. Prediko forecasts the stock, but on its own it cannot tell you how much revenue and margin a given SKU going dark will actually cost. Polar ingests your Prediko data and blends it with real sales velocity and margin, tagging each SKU stock-out, at-risk or in-stock and ranking them by revenue at risk. You reorder the SKUs that matter before they run out, and you spot the slow movers tying up cash, so the plan is driven by money, not just units.

What makes it real

Ranked by money. SKUs prioritized by revenue and margin at risk, not just days of cover.

Blended with velocity. Real sales velocity and lead time drive the forecast, next to margin.

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

See how inventory ties to revenue
Other Use Cases

Other use cases

Use case 01

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Placeholder. The use case skill fills this. (rung: see it)

See the use case › Use case 02

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Placeholder. The use case skill fills this. (rung: report it)

See the use case › Use case 03

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Placeholder. The use case skill fills this. (rung: analyze it)

See the use case › Use case 04

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Placeholder. The use case skill fills this. (rung: decide from it)

See the use case › Use case 05

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Placeholder. The use case skill fills this. (rung: act on it)

See the use case ›
Your Prompt Library

Prediko in plain language

A scannable wall of sample prompts for your Prediko data inside Polar. Ask Polar, or Claude with the Polar MCP connected.
See it
Show days of cover by SKU.
Which SKUs are at risk of stocking out this month?
Show inventory health across my catalog.
Analyze it
Rank stockout risk by revenue at risk.
How much cash is tied up in slow-moving stock?
Compare forecast to actual sales by SKU.
Decide from it
What should I reorder now, prioritized by margin?
Which slow SKUs should I discount to free capital?
Summarize inventory risk changes since last month.
Get started · connect once · reorder in time

Never lose a sale to a stockout.

Ingest Prediko with a custom connector and blend inventory and forecasts with real sales velocity and margin, so you reorder before you lose revenue.

Get started by booking a demo Connect your data in Polar
Phase 1 talk to PolarConnect PredikoThe AI data engineer builds a custom 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.