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Stocky Alternative — Inventory Logiq

Stocky is shutting down.
Switch to a forecasting engine that does it better.

Inventory Logiq is a Stocky alternative built for Shopify brands that need better demand forecasting and purchase order planning after Stocky’s shutdown.

Holdout validation per SKU Multiple models compete per SKU POs from forecasts Decisions, not dashboards

Stocky shutdown timeline

Already done Forecasting & Transfers removed July 7, 2025 — Min/max settings and inventory transfers disabled.
Already done Delisted from App Store February 2, 2026 — No new installs. Limited access only.
!
Act now Export supplier data manually Before August 2026 — Lead times and MOQs cannot be exported. Document them now.
Hard deadline Complete shutdown — August 31, 2026 App stops entirely. All unsupported data is permanently lost.

The two things Stocky did.
Done better.

Demand forecasting and purchase order generation. Inventory Logiq handles both — with a forecasting engine that validates itself against your own actuals, not generic benchmarks.

Forecasting

Multiple models compete per SKU. The best-fit wins.

Moving AverageExp. SmoothingHolt-WintersSARIMACrostonExp. SmoothingSARIMASARIMAWinner — this SKUVALIDATED ON HOLDOUT DATA · BEST FIT WINS PER SKU
  • A growing set of statistical and ML models run in parallel per SKU. The winner is selected on holdout data, not assumed in advance.
  • Seasonal, intermittent, promo-driven, and stable demand patterns each get the right model. No single algorithm forced across your full catalog.
  • Accuracy benchmarked against your prior approach using FVA, not industry averages.
Purchase Orders

Shopify has PO management. What it cannot do is generate them from a forecast.

INPUTSales HistoryCSV / ShopifyFORECAST ENGINEDemand Forecast+ Lead time+ Safety stock + MOQOUTPUTReorder PlanBy supplierPOReadyQUANTITIES FROM FORECAST · NOT MIN/MAX RULES
  • Shopify Admin lets you create and track POs manually. Inventory Logiq calculates the right quantities from your actual demand forecast, not a min/max rule.
  • Reorder recommendations account for supplier lead times, safety stock, and MOQs, grouped by supplier and ready to act on.
  • Overstock flagged weekly with excess quantity and cash impact per SKU. Redistribution recommendations when stock is in the wrong location.
Delivery model

Delivered weekly as decisions. No dashboard to interpret.

Weekly Plan · Inventory LogiqREORDER12 SKUs · 3 suppliersOVERSTOCK4 SKUs · €2,400 tiedREDISTRIBUTE2 transfers flaggedPLANNING CADENCEEngine runs weeklyYou review outputsOrders approved and sentNOT CHARTS · DECISIONS · YOU REVIEW AND APPROVE
  • Inventory Logiq is a managed planning retainer. We run the forecasting engine; you review and approve. No self-serve dashboard to learn or maintain.
  • Works with your existing data sources, Shopify, Amazon, WMS, and outputs to ERP, CSV, or directly to supplier contacts.
Getting started

A planning sample in 48 hours. Before you commit to anything.

YOU SENDSales CSVWE RUNEngine≤ 48 hoursYOU GETSample PlanYOU DECIDECommit or notReorder plan · Overstock flags · Redistribution recommendationsEVALUATE ON YOUR ACTUAL SKUs BEFORE COMMITTING
  • Share a CSV export of your Shopify sales history. We return a reorder, overstock, and redistribution plan on your actual SKUs.
  • Evaluate the output against what Stocky told you. Most clients run both in parallel for 2 to 3 weeks before full cutover.

Most tools give you charts. We run the forecasting engine and deliver the order.

Inventory Logiq vs Stocky vs alternatives

On forecasting and purchase orders — the two capabilities Stocky removed — here is where each option stands.

Capability Stocky (deprecated) + Inventory Logiq Other tools
Demand forecasting None — min/max rules only Multiple models compete; best fit per SKU Single algorithm per store
Forecast accuracy validation No validation Holdout + FVA vs your prior approach Reported accuracy only
Seasonal and trend handling Not supported Holt-Winters and SARIMA; adapts per SKU Some support seasonality
Intermittent / slow-moving SKUs Not handled Croston’s method for low-velocity items Typically not handled
Purchase order generation Basic PO, no forecast link POs from forecasts, grouped by supplier, with lead time + MOQ Varies
Reorder point calculation Manual min/max Calculated from forecast, lead time, safety stock Often rule-based
Overstock identification No Flagged weekly; excess quantity + cash impact per SKU Limited
Self-serve vs operated Self-serve dashboard Operated retainer — decisions delivered; you review Self-serve SaaS

What to do before August 31

If you are on Stocky today, here is the action sequence. Do not wait until August.

1

Export your historical purchase order data now

Download all historical POs, stocktake records, and inventory logs from Stocky’s export tools. After August 31, this data is permanently gone.

Do this today
2

Manually document every supplier

Supplier contacts, lead times, and MOQs cannot be exported from Stocky. Record each supplier manually — this step cannot be automated.

Cannot be automated
3

Request a planning sample from Inventory Logiq

Share a CSV export of your Shopify sales history. We return a reorder, overstock, and redistribution plan on your actual SKUs so you can evaluate the output before committing.

Returns in 48 hours
4

Run both in parallel for 2–4 weeks

Use Stocky as reference while your Inventory Logiq cycle calibrates. Compare forecasts against actual demand before full cutover.

2–4 weeks recommended
5

Full cutover by June 2026

By June, Inventory Logiq should be your primary planning layer. Use remaining Stocky access as reference until shutdown.

Target: June 2026

Questions on switching from Stocky

Why is Shopify shutting down Stocky?
Shopify is consolidating inventory tracking into Shopify Admin. Stocky was built as a standalone app for Shopify Plus users. As Admin’s native inventory features have matured, Shopify has chosen to sunset Stocky rather than maintain a parallel product. Forecasting and transfers were the first features removed; the full shutdown is August 31, 2026.
Does Shopify Admin replace everything Stocky did?
Shopify Admin handles barcode scanning, real-time stock tracking, and manual PO creation — the operational plumbing Stocky also covered. What it does not do is forecast demand or calculate how much to order based on that forecast. That is the gap Inventory Logiq fills.
What do you need from me to get started?
A CSV export of your Shopify sales history is enough to generate a planning sample. For a full onboarding, we also need supplier lead times, MOQs, and current stock levels. The initial sample takes 48 hours from when we receive your data.
How is this different from Prediko, Fabrikator, or Inventory Planner?
Those are self-serve SaaS dashboards. Inventory Logiq is a managed planning retainer — we run the forecasting engine on your behalf and deliver decisions, not a dashboard for you to interpret. The difference shows up in two places: the forecasting methodology (multiple competing models per SKU vs a single algorithm) and the delivery model (we operate the system; you review outputs and approve orders).
What is FVA and why does it matter?
Forecast Value Added measures whether our forecasting engine actually outperforms what you were doing before — whether that was a spreadsheet, Stocky’s min/max rules, or gut feel. We benchmark every engagement against your prior approach rather than quoting generic accuracy statistics. If we are not adding value over your previous method, you will see it in the numbers.
How quickly can we be running?
A planning sample on your actual SKUs returns within 48 hours of receiving your sales data. Full onboarding — with supplier constraints, safety stock calibration, and a first planning cycle — typically takes one to two weeks. Most clients run a parallel period of two to four weeks before treating Inventory Logiq as their primary planning layer.

Want to see a sample plan for your catalog?

Share a CSV export of your Shopify sales history. We return a reorder, overstock, and redistribution plan on your actual SKUs — before you commit to anything.

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