Inventory software demos tend to end at the most flattering moment: a smooth forecast line and a recommended order quantity. The buyer is left to discover what happens when a promotion distorts demand, a supplier misses a date, Amazon holds stock in a different network, or the forecast recommends another case of an item that has been out of stock for two weeks.
That is why I would not pick an inventory tool from its forecast screen. I would pick it from the purchase decision it can support without hiding weak inputs.
I reviewed current product pages, documentation, Shopify App Store listings, and public user feedback for eight products. I did not run one shared store dataset through every vendor, so this is a buyer's shortlist, not a forecast-accuracy ranking. Any company that claims the most accurate model should be willing to backtest it on your history.
The shortlist
| Tool | Best fit | Public price checked July 31, 2026 | What to prove | |---|---|---:|---| | Prediko | Shopify-first DTC brands that want forecasting, POs, transfers, and raw materials together | From $49/month, revenue-tiered | Forecast overrides, bundle logic, 3PL sync, and cost as revenue grows | | Inventory Planner by Sage | Established multi-channel teams that need replenishment and inventory reporting | Quote required on current Shopify listing | Connector coverage, onboarding scope, and renewal price | | Fabrikatör | Shopify brands that connect forecasting with purchasing and backorders | Pricing shown through its own model or sales flow | PO receiving, supplier rules, open-PO dates, and backorder promises | | Cogsy | Consumer brands that want demand plans tied to cash and growth scenarios | Pricing page advertises plans from $49/month | Scenario assumptions, marketing-event inputs, and financial planning depth | | Netstock | ERP-led distributors and mid-market companies | Custom quote | ERP mapping, planner workflow, item-location scale, and implementation ownership | | Forthcast | Small Shopify teams that need simple forecasts and draft POs at a flat price | $19.99/month | Forecast controls, exception handling, and whether the product is mature enough for the workflow | | Inventory Forecasting Hero | Small Shopify stores replacing a restock spreadsheet | $25/month with a 30-day trial | Seasonal SKUs, lead-time settings, export, and recommendation transparency | | Cin7 | Omnichannel operators that need inventory and order operations beyond forecasting | Quote or product-specific pricing | Whether planning quality justifies buying a wider inventory platform |
The cheapest product here is not automatically the best value. A $20 app that cannot see an Amazon warehouse is expensive if a planner still reconciles every SKU by hand. A larger platform is equally wasteful if a single Shopify store only needs a weekly restock report.
My picks by store model
Best starting point for a Shopify DTC brand: Prediko
Prediko combines demand planning, replenishment alerts, purchase orders, inventory transfers, reports, and raw-material planning in one Shopify-oriented product. The Shopify listing currently shows $49 per month for stores up to $100,000 in revenue, $119 up to $500,000, and $199 up to $2 million. Larger stores move to enterprise pricing.
That packaging is easy to understand, but the revenue tiers deserve a spreadsheet. Model the next band before migrating purchasing into the product. Also test the limits that matter to the real catalog: bundles, multiple locations, lead-time changes, preorders, stock already committed, and the point at which a PO reaches a WMS or 3PL.
Prediko is the strongest first demo for a Shopify-first team that wants forecasting and purchasing in one place. It is a poor default for a business whose shared stock lives across Amazon, Walmart, wholesale, and several fulfillment networks.
Best for a more established planning team: Inventory Planner by Sage
Inventory Planner has a longer operating history and covers forecasting, replenishment, reporting, and multi-location or multi-channel planning. Its current Shopify App Store listing says pricing adapts to the business and asks buyers to request a quote.
The lack of a public number changes the evaluation. Ask for a written list of connectors, stores, users, historical data, onboarding work, support, renewal terms, and any volume measure that can change the price. Do not compare a quote with Prediko or a smaller app until those rows are filled in.
The Shopify listing has a substantial public review history. That is useful for finding implementation and support themes, but it does not prove fit for your catalog. A buyer with several channels should ask the vendor to reconcile the same five SKUs across every source before signing.
Best when inventory planning must include cash: Cogsy
Cogsy presents inventory health, demand planning, purchase orders, and growth scenarios as one operating view for consumer brands. Its public pricing page advertises plans from $49 per month, although the live package and business fit still need confirmation.
I would put Cogsy on the shortlist when the planning conversation includes cash commitments and marketing events, not just units on hand. The demo should show what happens when a campaign is moved, a growth assumption changes, or supplier timing slips. If the answer is simply a new forecast line, the financial-planning claim has not been tested.
Best for ERP-led operations: Netstock
Netstock is a different purchase from a Shopify forecasting app. It is built around demand and supply planning connected to ERP systems, with replenishment, inventory optimization, multi-location views, and planner workflows.
That makes it a better candidate for a distributor or established brand whose ERP is the system of record. It also means implementation is part of the product. Ask who maps items, locations, suppliers, units of measure, open orders, lead times, and exceptions. The team should see a reconciliation report before trusting a recommendation.
A Shopify app can be easier to install. It cannot replace an ERP planning layer when Shopify is only one sales channel.
Best low-cost simple option: Inventory Forecasting Hero
Inventory Forecasting Hero currently advertises $25 per month and a 30-day trial. Its pitch is narrow: use Shopify sales history to calculate restock timing and quantity, then export the forecast.
That narrowness can be an advantage for a small store. The operator can tell quickly whether it replaces the weekly spreadsheet. Test seasonal items, products that were unavailable, lead-time changes, new SKUs, slow sellers, and an item with an open order. If the app exposes enough of the calculation to explain the result, it may be all the store needs.
Best budget experiment for forecast-to-PO work: Forthcast
Forthcast advertises a flat $19.99 monthly price for Shopify inventory forecasting and auto-drafted purchase orders. That is attractive for a small team, but a low price is not evidence that a young product is ready to own purchasing.
Use the trial as a maturity test. Check data import, permissions, supplier mapping, audit history, exports, support response, and what happens if you leave. Keep purchase orders in draft until the product has survived a complete replenishment cycle.
Best when backorders are part of the sales model: Fabrikatör
Fabrikatör joins planning and purchasing with Shopify operations, including supplier-product matching and backorder-oriented workflows. A brand that continues selling against incoming stock has a harder problem than a store that merely needs low-stock alerts.
The important test is not whether a backorder button exists. Check whether the promised ship date follows the correct open PO, whether partial receipts update it, and whether a delayed supplier date reaches the storefront before more customers buy.
Best when forecasting is only one part of omnichannel inventory: Cin7
Cin7 belongs in the comparison when the team needs broader order, warehouse, purchasing, manufacturing, or channel operations. It should not win merely because it has more modules.
First decide whether the current failure is planning or execution. If the forecast is adequate but orders, warehouses, and channels do not stay synchronized, a broader inventory platform may be justified. If the operational stack already works, compare a focused planning product before starting a larger migration.
The backtest every vendor should run
Do not hand the vendor one clean bestselling SKU. Prepare a fixed historical set and ask every candidate to forecast the same period.
Use at least these SKU groups:
- stable repeat sellers;
- seasonal products;
- promotion-heavy products;
- products with past stockouts;
- slow movers;
- new products with little history;
- bundles or kits;
- products shared across locations or channels.
Choose a cutoff date in the past. Give the tool only the data that would have existed then, including inventory, open purchase orders, lead times, promotions, returns, and channel sales. Forecast the next 8 to 12 weeks, then compare it with what actually happened.
Track WAPE and forecast bias rather than relying on one average accuracy percentage. WAPE shows the total absolute error relative to actual demand. Bias shows whether a model tends to over-forecast or under-forecast. Break both out by SKU group. A good result on fast sellers can hide bad purchase advice on slow, expensive stock.
Forecast error is only half the score. Also calculate:
- stockout days;
- excess weeks of cover;
- emergency orders;
- purchase-order changes;
- cash committed;
- planner overrides;
- time spent reviewing exceptions.
The winning tool is the one that improves the purchase decision at an acceptable operating cost. It may not have the lowest forecast error.
Five inputs that break otherwise good forecasts
Stockouts
Sales during a stockout are not demand. If the product had zero inventory, the history is censored. Ask how the model detects and treats those periods.
Promotions and price changes
A promotion spike should not quietly become the new baseline. Check how the tool imports campaign dates, discounts, and one-off events, and whether the planner can label them.
Supplier lead time
A forecast can be mathematically sound and still recommend the wrong order date because the stored lead time is stale. Test expected, actual, and variable lead times.
Open purchase orders
If the system cannot see quantities already ordered, partially received, delayed, or canceled, it can recommend a duplicate order. This is a basic acceptance test, not an advanced feature.
New products
There is no historical model for a new SKU. Ask how the tool uses analog products, category curves, launch plans, preorder signals, or a planner's manual assumption. A confident number without one of those inputs is still a guess.
What to ask in the sales call
Bring your own data model and purchasing flow. Ask the vendor to show:
- which source owns inventory, sales, returns, transfers, and purchase orders;
- how often each connector refreshes and how late data is corrected;
- how stockouts, promotions, bundles, variants, returns, and channel duplication are handled;
- whether recommendations show their inputs and can be overridden with a reason;
- who can approve, send, edit, receive, or cancel a purchase order;
- how the account exports forecasts, supplier data, settings, and audit history;
- what changes the bill as revenue, orders, SKUs, locations, users, or channels grow.
If the demo cannot explain one strange recommendation, do not give it permission to create a real PO.
The decision
For a Shopify-first DTC brand, I would demo Prediko first and put Inventory Forecasting Hero or Forthcast beside it to learn whether the team really needs the broader workflow. Inventory Planner and Cogsy make more sense once planning spans more people, channels, or financial scenarios. Netstock belongs in an ERP-led evaluation. Fabrikatör deserves attention when open POs and backorders affect the storefront. Cin7 is for the company that needs a wider inventory operating system, not only a prettier forecast.
Run the backtest before discussing an annual contract. Keep the first live purchase orders in draft. The forecast should earn authority one replenishment cycle at a time.
Sources checked
- Prediko on the Shopify App Store
- Inventory Planner by Sage on the Shopify App Store
- Fabrikatör product site
- Fabrikatör supplier and product matching documentation
- Cogsy pricing
- Netstock product site
- Forthcast product and pricing
- Inventory Forecasting Hero product and pricing
Prices and packaging were checked on July 31, 2026. Vendor outcomes are treated as vendor evidence. No shared EcomAgentTools forecast benchmark has been completed across all eight products.