AI Inventory Predictor Cost: Per-SKU, Per-Month Economics of 7 Forecasting Platforms (2026)

**Inventory Planner by Sage** is the workhorse of mid-market Shopify and BigCommerce operations. Acquired by Sage in 2022, it does velocity-based demand forecasting, seasonality modeling, lead-time variance, and most importantly automates purchase-order generation across multiple sales channels and warehouses. The 'AI' here is honest statistical forecasting plus learned seasonality — not large language models — and that's a feature, not a bug, for replenishment work. Operators get suggested POs, reorder points, and overstock alerts they can trust. The transparent published tiers (https://www.inventory-planner.com/pricing/) make it one of the few platforms you can budget without a sales call.

**Cogsy** sits adjacent to Inventory Planner but pitches harder to DTC brands. The forecast engine pulls Shopify and ShipBob data, but the differentiator is cash-flow forecasting tied to purchase orders — you see how a PO affects bank balance in 60/90/120 days, not just stock-on-hand. Cogsy also bakes in merchandising signals (Klaviyo flow performance, ad spend) and pushes 'launch planning' for product drops. Published pricing at https://cogsy.com/pricing/ keeps it accountable. The AI claim is mostly demand forecasting + finance modeling — useful, but don't expect deep multi-echelon optimization.

**Stocky** is Shopify's own demand-suggestion app, bundled free with Shopify POS Pro ($89/mo per retail location, see https://www.shopify.com/pos/pro). It generates reorder suggestions from POS + online sales velocity, manages POs, and tracks stocktakes. The AI is rudimentary — sales velocity and lead-time averaging — but if you're already paying for POS Pro, the marginal cost is zero. Stocky's hard ceiling is its Shopify-only architecture, no multi-channel marketplace consolidation, and no probabilistic forecasting.

**Netstock**, **ToolsGroup SO99+**, and **Fountain9 Kronoscope** play in different fields. Netstock targets distributors and multi-location retailers running NetSuite, SAP B1, Sage X3, or Acumatica, with quote-only pricing in the $1,000-$5,000/month range depending on SKU count and locations (https://www.netstock.com/pricing/). ToolsGroup SO99+ is the enterprise reference platform for probabilistic forecasting and multi-echelon inventory optimization, running $50K-$300K+ per year (https://www.toolsgroup.com/products/so99-plus/). Fountain9 Kronoscope is the newer AI-native alternative at $25K-$100K/yr (https://www.fountain9.com/kronoscope).

**Streamline** is the wildcard. It publishes a $250/mo Solo tier, a $599/mo Pro tier, and Enterprise from $2,000/mo (https://gmdhsoftware.com/streamline/pricing) — and uniquely offers an on-premise deployment option for buyers who can't put forecast data in someone else's cloud. The ML engine handles intermittent demand and new-product planning, which is where most simpler tools fall apart. If you're a manufacturer or distributor with data-residency constraints, Streamline is often the only published-pricing option that meets the brief.

Inventory forecasting is only as good as the order, stock, and lead-time data feeding it, so integration depth matters more than feature checklists. **Inventory Planner** runs as a cloud SaaS that pulls Shopify, BigCommerce, WooCommerce, NetSuite, QuickBooks, Xero, and Amazon data on schedule, normalizes it, and pushes POs back out via native connectors. Multi-channel rollups (online + Amazon + wholesale) work without middleware, which is the main reason it beats Stocky for brands that have outgrown a single channel.

**Cogsy** focuses its integrations on the DTC stack: Shopify, ShipBob for 3PL stock visibility, QuickBooks for finance, and Klaviyo for merchandising signals. That's a deliberate ceiling — Cogsy doesn't pretend to handle a NetSuite-on-the-back-end omnichannel brand. **Stocky** lives inside Shopify's data model and authentication, so integration is zero effort, but you cannot route in non-Shopify sales channels without dirty CSV imports.

**Netstock** is built around ERP-anchored deployments. It connects natively to NetSuite, SAP Business One, Microsoft Dynamics, Sage X3, and Acumatica via certified connectors, and the forecast engine treats the ERP as source of truth. That's why Netstock is a fit for distributors with 50,000+ SKUs across warehouses where Shopify isn't the system of record. Expect a 4-8 week implementation, not a self-serve install.

**ToolsGroup SO99+** and **Fountain9 Kronoscope** play in the enterprise integration space — SAP IBP, Oracle, large NetSuite OneWorld deployments, custom EDI, and direct data warehouse pipes (Snowflake, BigQuery, Databricks). ToolsGroup will run on-prem or in a customer-managed cloud account; Fountain9 is cloud-only but offers VPC peering for data-sensitive customers. Both expect 8-16 weeks of implementation and integration consulting, often through a partner.

**Streamline** is the architecture outlier: it can run cloud-hosted by GMDH or fully on-premise as a Windows or Docker install, with ODBC, REST, and direct Excel/CSV ingestion. For manufacturers and distributors who need forecast data inside their own firewall — common in defense supply chains, regulated medical, or any company with a strict cloud policy — that combination of published pricing and self-hostable architecture is rare in this category. Most other vendors won't even quote on-prem at the SMB price point.

Headline tier pricing hides the metric operators actually care about: dollars per SKU per month. **Inventory Planner Essential** at $249/mo for 1,000 SKUs works out to $0.249 per SKU per month, **Advanced** at $749/mo for 5,000 SKUs is $0.150, and **Premium** at $1,499/mo for 20,000 SKUs is $0.075 (https://www.inventory-planner.com/pricing/). That declining curve is exactly what you want — economies of scale show up as you grow. Enterprise tiers above 20K SKUs are custom but typically continue the curve toward $0.04-$0.06 per SKU per month.

**Cogsy Foundation** at $299/mo for 1,000 SKUs is $0.299, **Growth** at $549 for 5,000 SKUs is $0.110, and **Advanced** at $999 for 20,000 SKUs is $0.050 (https://cogsy.com/pricing/). On pure per-SKU economics Cogsy beats Inventory Planner at the top tier, which makes sense — Cogsy's added value at scale is the cash-flow modeling, not raw SKU count. If you're a DTC brand under 5K SKUs that needs CFO-grade purchase-order forecasting, the math works out.

**Stocky** is the cheat code if you fit the box. Free with **Shopify POS Pro** at $89/mo per location (https://www.shopify.com/pos/pro). At 1,000 SKUs and one retail location, that's $0.089 per SKU per month — about 3x cheaper than Inventory Planner Essential. The catch: you must already need POS Pro for retail. If you're not running physical retail, Stocky 'free' actually means paying $89/mo for unused POS features, and Inventory Planner is the better fit.

**Netstock** at $1,000-$5,000/mo for typical distributor deployments lands at $0.10-$0.30 per SKU per month for 10,000-50,000 SKU catalogs across 3-10 warehouse locations. That's competitive with Inventory Planner's mid tier when you account for the multi-location complexity Netstock handles natively. **ToolsGroup SO99+** at $50K-$300K/yr only makes sense above ~100K SKUs with multi-echelon networks — at 250K SKUs and $150K/yr, you're at $0.05 per SKU per month, but you need the supply-chain maturity to use it.

**Fountain9 Kronoscope** at $25K-$100K/yr is positioned as the cheaper enterprise alternative to ToolsGroup or SAP IBP. At 50K SKUs and $60K/yr, that's $0.10 per SKU per month — paying enterprise-software prices for a single-vendor solution rather than systems-integrator fees. **Streamline Solo** at $250/mo only fits single users with small catalogs ($0.25/SKU at 1K SKUs), **Pro** at $599 hits $0.12 at 5K SKUs, and **Enterprise** from $2,000/mo scales to $0.04 per SKU at 50K SKUs (https://gmdhsoftware.com/streamline/pricing). Verify all numbers — as of June 2026 — verify at each vendor's /pricing page, because SaaS tiers shift quietly.

Use case one: you run a $5M-$30M GMV Shopify brand with 2,000-8,000 SKUs across online + Amazon + a small wholesale channel. **Inventory Planner Advanced** at $749/mo is the obvious pick — it's literally designed for this profile, the multi-channel rollups work, and PO automation pays for itself in the first month if you're currently spreadsheeting. **Cogsy Growth** at $549/mo wins this slot if your CFO is breathing down your neck about cash flow and you don't have multiple sales channels to consolidate.

Use case two: you're a Shopify retailer running physical locations with 500-2,000 SKUs, no marketplace selling, no wholesale. **Stocky** is free with **POS Pro** and there's no reason to pay more. The math is unbeatable, and Stocky's demand suggestions are 'good enough' at this scale because lead times are short and you can manually adjust. Spending $249/mo on Inventory Planner here is just feature overkill.

Use case three: you're a distributor or wholesaler with 20,000+ SKUs across 3+ warehouses running NetSuite, SAP B1, or Acumatica. This is **Netstock** territory (https://www.netstock.com/pricing/). The ERP-anchored architecture, multi-location allocation logic, and ABC classification are built for this profile. Inventory Planner can technically handle it but lacks the warehouse-level inventory balancing distributors need. Expect $2,000-$4,000/mo all-in.

Use case four: you're an enterprise with $500M+ in revenue, complex multi-echelon supply chains, and a sourcing footprint that includes contract manufacturers, regional DCs, and direct-to-store. **ToolsGroup SO99+** is the safe pick — battle-tested, reference accounts everywhere, supply-chain maturity to back it up (https://www.toolsgroup.com/products/so99-plus/). **Fountain9 Kronoscope** is the cheaper, AI-native challenger if your team is comfortable with newer tech and wants demand sensing rather than classical probabilistic forecasting.

Use case five: you're a manufacturer or distributor with strict data-residency requirements — defense, medical, government, or any company that can't put forecast data in a vendor cloud. **Streamline** is the only platform on this list that publishes pricing and offers on-premise deployment (https://gmdhsoftware.com/streamline/pricing). Pair Streamline Enterprise from $2,000/mo with internal hosting, and you get probabilistic forecasting without violating data-handling policies. ToolsGroup will also do on-prem, but at 5-10x the cost.

Treat every demand-forecasting vendor's accuracy claim with skepticism. The right evaluation is a back-test on your own data: pull 18 months of order history, hold out the last 6 months, let the vendor's model forecast that period, then measure MAPE (mean absolute percentage error), bias, and fill-rate against actuals. Any vendor that won't run this test on your data isn't ready for production. **Inventory Planner** and **Cogsy** both support data uploads for trial accounts — use them.

**Stocky** is harder to back-test because it lives inside Shopify and doesn't easily expose its model outputs as exportable forecasts. The workaround is to compare its reorder suggestions over a 60-day window to your actual sales — it's directionally fine for fast-moving SKUs and noisy on slow movers, which matches its statistical foundations. Don't expect Stocky to handle intermittent demand or new-product planning well.

Security and compliance separate the SMB SaaS tier from the enterprise tier sharply. **Inventory Planner** offers SSO/SAML on its Enterprise tier only, **Cogsy** brings SSO at Advanced and above, and **Stocky** rides Shopify's authentication. For SOC 2 Type II reports, only the enterprise platforms (**Netstock**, **ToolsGroup**, **Fountain9**, **Streamline** Enterprise) reliably provide them on request. If your security team requires SOC 2 evidence before procurement, narrow the list early.

Data residency matters more than most operators realize. **Cogsy** is US-only — if you're a UK or EU brand with GDPR concerns about US data transfer, that's a deal-breaker. **Inventory Planner** offers US and EU regions. **Netstock** supports US, EU, and ANZ. **ToolsGroup** and **Streamline** both offer global regions plus on-prem. **Fountain9** runs US and EU clouds with VPC peering. Match the deployment regions to your customer geography and legal posture before signing.

Finally, evaluate the integration cost honestly. **Inventory Planner**, **Cogsy**, and **Stocky** are self-serve installs — hours of setup, not weeks. **Netstock** typically runs 4-8 weeks of implementation. **ToolsGroup** and **Fountain9** run 8-16 weeks with consulting fees often equal to 50-100% of year-one license cost. **Streamline** sits in between depending on deployment mode. Build the implementation cost into your TCO model, not just the subscription line.

Most operators won't need on-prem deployment, but the ones who do can't compromise on it. Inventory forecasting touches sensitive data: order history, customer behavior patterns, supplier lead times, cost basis, margin data. Some industries — defense, medical devices, certain government contractors, and increasingly EU-headquartered brands wary of US cloud — have data-handling rules that disqualify any pure-SaaS platform regardless of features.

**Streamline** is the most accessible self-hostable option. The on-prem deployment runs as a Windows service or Docker container, integrates via ODBC and REST, and is priced through Enterprise from $2,000/mo (https://gmdhsoftware.com/streamline/pricing). Implementation is typically 4-8 weeks. For a manufacturer or distributor that wants ML-driven forecasting inside their own firewall, no other vendor in this comparison comes close on price-to-deployment-flexibility ratio.

**ToolsGroup SO99+** will also deploy on-prem or in a customer-managed AWS/Azure account, but at enterprise pricing of $50K-$300K+/year (https://www.toolsgroup.com/products/so99-plus/) plus implementation. That's the right answer for global manufacturers running SAP IBP-class supply chains. It's wildly overengineered for a mid-market distributor.

**Inventory Planner**, **Cogsy**, **Stocky**, **Netstock**, and **Fountain9** are all SaaS-only. If on-prem is a hard requirement, they're out. Some — Fountain9 and Netstock — will negotiate dedicated VPC deployments for enterprise customers, which can satisfy 'logical isolation' clauses without full on-prem. Always ask, because vendor SDRs default to standard SaaS terms even when alternatives exist.

Data residency is the more common practical question, and it splits the field more usefully than self-hosting. As of June 2026 — verify at each vendor's /pricing page or trust-center site — the EU-region offerings are: **Inventory Planner** (EU region available), **Netstock** (EU region), **ToolsGroup** (global), **Fountain9** (EU cloud), **Streamline** (EU cloud and on-prem). **Cogsy** and **Stocky** are effectively US-resident. If your DPO requires EU data residency under GDPR, that constraint alone cuts the list in half.

Subscription is rarely the full bill. For **Inventory Planner** and **Cogsy**, the published tier is essentially the all-in cost — implementation is self-serve, training is documentation plus a few onboarding calls, and ongoing support is included. Budget 10-20 hours of operator time to set up product mappings, lead times, and PO templates, but no implementation invoice. That's why both vendors win the under-$100M GMV bracket on pure economics.

**Stocky** is genuinely free if you already need **Shopify POS Pro** for retail. If you don't, the 'free' label is misleading — you're paying $89/mo per location for POS features you won't use just to get demand suggestions. For a 3-location retailer, that's $267/mo, more than Inventory Planner Essential and with less functionality.

**Netstock** typically adds $5,000-$25,000 in implementation fees on top of the monthly subscription for ERP integration, data mapping, and operator training (https://www.netstock.com/pricing/). Annual maintenance and any custom connectors push that up. For a year-one budget on a Netstock deal, double the subscription line.

**ToolsGroup** and **Fountain9** enterprise deals include or require systems-integrator implementation work. ToolsGroup deployments routinely run $100K-$500K in implementation through partners like Deloitte or Accenture on top of license. Fountain9 keeps implementation lighter — $25K-$75K through its own services team — which is part of why it's positioned as the cheaper enterprise option. Build implementation, integration, and change-management costs into a 36-month TCO model before comparing to mid-market alternatives.

**Streamline** implementation is usually $5,000-$20,000 for on-prem deployments, less for cloud. The platform's killer feature for TCO purposes is no per-user pricing on Enterprise tier — many vendors quietly meter users, which inflates costs as your planning team grows. Always ask about user metering, API call limits, and SKU overage charges. They are the three places SaaS bills surprise operators.

Every vendor in this comparison says they use 'AI' for forecasting. The honest breakdown: **Inventory Planner** uses statistical forecasting with seasonality decomposition and learned lead-time variance. That's classical, well-understood, and reliable. The 'AI' label is generous but the math works for replenishment. **Cogsy** runs similar statistical methods plus cash-flow modeling — no large language models or neural nets, but solid demand math.

**Stocky** uses simple velocity-based suggestions — moving averages with lead-time buffers. Calling it AI is marketing. It works fine for short-lead-time fast-movers and falls apart on intermittent demand or new product launches. Operators of Stocky-managed inventory typically override 30-50% of its suggestions manually, which is fine if you're a small retailer and not fine if you're trying to scale.

**Netstock** combines statistical forecasting (Holt-Winters, Croston for intermittent demand) with machine-learning models for SKUs with enough history, plus ABC-XYZ classification to apply different methods to different SKU classes. That's genuinely useful at distributor scale. Not LLM-driven, but legitimately ML where it matters.

**ToolsGroup SO99+** is the reference for probabilistic forecasting in inventory planning — it forecasts demand distributions, not point estimates, which is the right approach for safety-stock and service-level decisions. The platform incorporates ML for demand sensing and causal modeling. This is the deepest 'real AI' offering in the comparison and the price reflects it. **Fountain9 Kronoscope** leans hardest on neural-network demand sensing and autonomous replenishment recommendations — closer in spirit to modern ML practice than ToolsGroup's mature stack, but with less reference-account ballast.

**Streamline** uses ML for intermittent demand and new-product planning specifically, with statistical methods for regular SKUs. The Solo and Pro tiers are statistical-first; the Enterprise tier unlocks the ML features. If your catalog is heavy in slow-movers, new launches, or seasonal spikes, the Enterprise tier ML pays for itself quickly. Don't pay for AI features you won't use — Solo and Pro are honest about their capabilities.