Comparison

Netstock alternative: Smart Inventory Forecasting

Know what to reorder, how much, and exactly when.

Netstock is from $900 per month per company. Smart Inventory Forecasting starts at $49 a month with a 14-day free trial, around 95% less at entry level. Both solve the same problem; the rest of this page is about where they differ and which one that should point you toward.

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Why teams look for a Netstock alternative

Netstock is a capable product and most people leaving it are not leaving because it stopped working. In this category the reasons are usually some combination of the following, and they are worth being honest about because only some of them are reasons to switch.

Price at small scale
from $900 per month per company is straightforward for a large team and hard to justify for a small one, particularly when most of the capability goes unused.
Paying for a tier to reach one feature
Pricing commonly gates a single needed capability behind a tier that also includes a great deal you will never open.
Results you cannot interrogate
When a number drives a decision, "the system says so" is not an answer you can take to a finance review or an auditor.
Annual commitment before evaluation
Several vendors in this space quote annually by default, which means committing before you know whether it works for you.

Price comparison

PlanSmart Inventory ForecastingNetstock
Starter — 3 seats included$49/mofrom $900 per month
Growth — 10 seats included$129/mofrom $900 per month
Scale — 30 seats included$299/mofrom $900 per month

Every plan includes seats rather than charging per head, so adding a colleague to look at a report does not change the bill. Annual billing is ten months for twelve, and you can switch or cancel yourself without talking to anyone.

Netstock pricing as published at their pricing page. Verify before deciding — vendors change prices, and this page may lag. https://www.netstock.com/pricing/

Where Smart Inventory Forecasting is the better choice

How the model is chosen

There is no single forecasting method that wins on every product, so the engine fits two and lets the data pick. The important part is how it picks: on data the model has not seen.

  1. Split the historyWith at least 21 days of data, the most recent 20% is held back as a test set and never used for fitting.
  2. Fit Holt double exponential smoothingA grid search over the level (alpha) and trend (beta) parameters, scored on forecast error against the holdout.
  3. Fit an ordinary least-squares trendA straight line through the training period, scored the same way.
  4. Compare honestlyThe linear model only wins if it beats Holt by a clear margin on the holdout, which stops it being picked on noise.

Where Netstock is the better choice

A comparison page that wins on every axis is marketing, and nobody believes it. These are real reasons to choose Netstock instead.

Switching from Netstock

The honest version: run both for a fortnight. Migration advice that tells you to cut over on a Friday is advice from someone who will not be answering the phone on Monday.

  1. Export from your current toolTake a CSV of your existing data. If you cannot get one out, that is worth knowing regardless of what you decide here.
  2. Import and run in parallelLoad the same data and operate both for a couple of weeks. Where the two disagree is where you learn something.
  3. Reconcile the differencesBecause every figure shows its working, a disagreement can be traced to a specific input or assumption rather than argued about.
  4. Cut over, keep the exportOnce the numbers agree, switch. Keep a final export of the old system — cheap insurance and sometimes a compliance requirement.

The trial is 14 days and needs no card, which is roughly how long a parallel run takes.