9 Best Inventory Planning Software in 2026: Pricing and Trade-offs
The nine planning products in this table predict demand and turn that prediction into stock targets and purchase suggestions, but they are built for very different buyers. StockTrim and Netstock are the two that name a price, and both are aimed at smaller firms: StockTrim through a public rate card, Netstock as a forecasting layer on an existing ERP. Blue Ridge and Slimstock sell to distributors, wholesalers and manufacturers, with Slimstock rooted in Europe. Lokad and Smart Software are specialists, the first writing a custom model for each client and the second focused on spare parts with sporadic demand. At the enterprise end, ToolsGroup, RELEX Solutions and Kinaxis cover long-tail ranges, store replenishment and cross-functional scenario work. Seven of the nine sell by quote.
Rows are not ranked. How row order is set.
Contents
The shortlist
Select a name to jump to its profile. On a narrow screen, scroll the table sideways.
| Tool | Good fit for | Price | Key difference |
|---|---|---|---|
| Lokadspecialist | Operations with unusual economics, such as aircraft parts or fashion sizing | No price list; sold with a Supply Chain Scientist, quoted Checked Sep 2026 | Openly published technical writing on probabilistic forecasting |
| Blue Ridgemid-market | Distributors and manufacturers wanting explainable replenishment and network optimisation | No rate card; quoted after a demo or datasheet request Checked Sep 2026 | Recommendations trace back to logic planners can inspect and challenge |
| Stock | Small ecommerce and wholesale firms wanting priced machine-learning forecasts | $298/mo for $3m to $5m revenue band, billed annually; $299 onboarding; 14-day trial Checked Sep 2026 | Rate card banded by revenue, with unlimited users and SKUs |
| Kinaxisenterprise | Large manufacturers comparing demand, supply and inventory scenarios often | No rate card; quoted per deployment after a demo Checked Sep 2026 | Driver attribution shows which inputs moved a forecast |
| Slimstockmid-market | European wholesalers and retailers wanting consultant-backed replenishment | No rate card; Slim4 quoted after a demo Checked Sep 2026 | Stock parameters recalculated continuously as demand changes |
| Netstockmid-market | SMB distributors and manufacturers adding forecasts on top of an ERP | Quoted; from $900/mo by product and bundle; 6 to 10 week implementation Checked Sep 2026 | A stated price floor plus connectors to over 60 ERPs |
| RELEX Solutionsenterprise | Store chains, grocery included, replenishing many items every day | No rate card; quoted per deployment after a demo Checked Sep 2026 | Public RFP answers list the replenishment methods supported |
| Smart Softwarespecialist | Spare parts and MRO teams facing sporadic, intermittent demand | No rate card; quoted per deployment after a demo Checked Sep 2026 | Patented bootstrapping simulates demand across the lead time |
| Tools | Manufacturers and aftermarket firms managing long-tail ranges | No rate card; Decion quoted per deployment after a demo Checked Sep 2026 | A single self-tuning algorithm and a service curve for every SKU-location |
Profiles summarise public product pages and documentation. Frontage Studios did not test every product hands-on. Each profile ends with an evidence record that shows which sources were checked and when, and marks what is missing. Fit notes are editorial judgement, not measured scores.
Inventory planning software works out how much of each item a business will need and when to order it, which an inventory record on its own cannot do. It forecasts demand, plans replenishment, and sets the reorder points and safety stock buffers that protect a service level as demand and lead times shift. Counting stock, scanning barcodes and tracking warehouse locations belong to inventory management systems and fall outside this page.
The market splits by the problem each vendor sets out to solve. Two tools aimed at smaller firms publish prices and sit on top of an existing ERP. Specialists document particular mathematics for sporadic demand or unusual economics. Mid-market platforms combine forecasting with replenishment and multi-echelon optimisation for distributors. Enterprise suites serve large retail and manufacturing networks. Prices were checked on each vendor’s own site in September 2026.
Entries with a dated source check are listed first, and every vendor here has one. The sequence records research status and is not a ranking.
Related comparisons cover trade promotion management software and shipment tracking software.
Tool profiles
Lokad
specialistLokad is more open about its methods than any other vendor on this page. It publishes signed technical definitions of the techniques it relies on, and its core argument is that forecasts should be probabilistic. A deterministic forecast gives one expected number per period; Lokad's output instead attaches a probability to every possible future outcome. The reasoning offered is that uncertainty in a supply chain cannot be eliminated, that lead times deserve the same probabilistic treatment as demand, and that a probabilistic forecast cannot be fairly scored with the mean square error used for single-number forecasts.
The company carries that thinking through to decisions. Its documentation describes recommendations ranked by their effect on the bottom line, weighing cost structures and demand variability alongside service level targets, so the action with the best economic return comes first. Routine calculations are automated, and the documentation names four of them: reorder quantities, allocations across several echelons, lead time adjustments and the scheduling of repairs. The learning technique is identified as differentiable programming, and models refresh continuously as new data comes in rather than waiting for a scheduled retraining cycle.
Delivery is the defining commercial feature. Lokad assigns a Supply Chain Scientist to each client, and that person writes a numerical recipe for the client's specific situation. The approach suits businesses whose economics do not fit standard planning assumptions, such as aviation parts, automotive catalogues or fashion assortments where size and colour curves drive the buying decision. It is less suited to a buyer that wants to configure a tool itself. The pricing page carries no list price; the platform is quoted after contact.
Where it is strong
- Forecasts both demand and lead time probabilistically and ranks decisions by expected financial return, not only by service level
- Names differentiable programming as its learning technique, with models that update as data arrives, so the method can be examined
Watch-outs
- Each client gets a numerical recipe written by an assigned Supply Chain Scientist, which makes delivery closer to consulting than to software configuration
- There is no public price, no trial and no self-serve option, so a small operation cannot test or size it alone
- Sources
- Product page, documentation, pricing page
- Billing
- Not recorded
- Source check
- Checked Sep 20, 2026
- Vendor sign-off
- Not confirmed
Blue Ridge
mid-marketBlue Ridge describes its forecasting as adaptive machine learning that runs a single model across every customer, location and SKU at once, rather than maintaining a library of per-item models. The vendor says each forecast is decomposed into the signals that drive it, and that its demand planning module picks up outside signals before they show in the company's own sales. Older demand planning documentation from the same vendor is more conventional: it describes running several forecasting models in parallel and choosing whichever proves most accurate, together with statistical forecasting, management by exception and real-time projection updates.
Replenishment is presented as purchasing intelligence. The system weighs network stock positions, supplier constraints and ordering economics together. In practice, that is the gap between a simple reorder point and a purchase that respects truckload breaks, minimum order quantities and supplier terms. Multi-echelon optimisation decides where stock should sit across the whole distribution network instead of treating each location separately. Supply planning brings production capacity, material requirements and demand forecasts into line, and connected planning shares demand signals and inventory positions with suppliers and partners.
The vendor frames AI as part of the original design rather than an addition. It describes a generative assistant that explains in plain language why a forecast changed or what is behind an order, showing its reasoning, and agents that take on routine monitoring. Blue Ridge publishes no rate card and quotes after a demo or a datasheet request.
Where it is strong
- Six modules share one architecture, from demand and supply planning to replenishment, multi-echelon, connected and integrated business planning
- Each forecast is broken down into the signals behind it, which helps when a planner questions a figure
Watch-outs
- Pricing is not published, so a small distributor needs a sales conversation to estimate cost
- Several features are described as agentic AI; buyers should separate what can be contracted today from stated plans
- Sources
- Product page, documentation
- Billing
- Not recorded
- Source check
- Checked Sep 20, 2026
- Vendor sign-off
- Not confirmed
StockTrim
smbStockTrim sits at the accessible end of the inventory planning market, and its pricing reflects that. The subscription is banded by annual revenue: a business in the $3m to $5m band pays $298 a month on annual billing, which the vendor presents with three months free. Annual plans carry a 12-month commitment and are documented as about 25 percent cheaper than paying monthly. Onboarding costs $299, and a 14-day trial is available without a credit card.
Forecasting, rather than stock record keeping, is the focus of the feature list. It names machine-learning inventory forecasting that the vendor describes as proprietary, intelligent order planning, forecasts by customer, dynamic scheduling of future reorders, detailed demand analysis, and forecasting and planning by category or custom product group. Every band includes automatic seasonality modelling and support for variable lead times. Forecasting new products that have no sales history is also listed on every band, and the vendor presents it as a separate capability rather than something that falls out of the main model.
Replenishment features cover automated purchasing workflows backed by an inventory journal and an audit history of purchasing, planning across multiple locations, and a profitability ranking of products. The published plans include full API access and place no limit on platform connections, SKUs or users.
Service levels also change with size: personalised onboarding and a dedicated customer success contact are standard only for businesses above $5m in gross merchandise value.
Where it is strong
- Trial terms, onboarding fee and subscription price are all public, so cost can be estimated without a call
- Lists forecasting for items with no sales history and automatic seasonality, two needs small sellers tend to meet early
Watch-outs
- The forecasting is described only as proprietary machine learning, with no published account of the models
- Personalised onboarding and dedicated customer success are standard only above $5m in gross merchandise value; smaller customers self-onboard or buy a one-off service package
- Sources
- Product page, pricing page
- Billing
- Monthly or annual subscription banded by annual revenue; annual billing carries a 12-month commitment and is documented as roughly 25 percent cheaper than monthly
- Source check
- Checked Sep 20, 2026
- Vendor sign-off
- Not confirmed
Kinaxis
enterpriseKinaxis does not tie its demand planning to one named algorithm. Instead it describes a mix of advanced statistics and machine learning applied across every planning horizon. Two capabilities are spelled out. The first is demand sensing, which feeds dynamic outside signals into short-term forecasts using the newest data available; the vendor names weather, social media and changes in consumer behaviour as examples. The second is explainability of forecast drivers. Kinaxis says planners can identify and explain which data had the biggest influence on a forecast, and it treats this as a deliverable in its own right, arguing that it is how people come to trust numbers produced by a machine.
The inventory documentation leans toward control and simulation rather than a published safety stock formula. Four capabilities are named. Proactive risk management highlights inventory risks and opportunities early enough to change stock levels. Scenario simulation tests a proposed change, showing what it would do to service levels and stock before anyone acts. Analytics monitor inventory quality. Real-time dashboards display trends and exceptions in stock.
The product suits large manufacturers whose planners routinely compare scenarios that span supply, demand and stock. Because the safety stock mathematics are not described in the same depth as monitoring and simulation, buyers for whom buffer calculation is the main question should request that documentation directly. Kinaxis has no published rate card and quotes each deployment after a demo request.
Where it is strong
- Short-term forecasts draw on outside signals such as weather, social media and changing consumer behaviour
- A proposed stock change can be simulated against service levels before it is approved
Watch-outs
- No public price or self-serve entry, and the documented features assume a mature enterprise planning team
- The inventory pages say more about monitoring and simulation than about how safety stock is calculated, so that detail should be requested
- Sources
- Product page, documentation
- Billing
- Not recorded
- Source check
- Checked Sep 20, 2026
- Vendor sign-off
- Not confirmed
Slimstock
mid-marketSlimstock's product is Slim4, which is divided into three areas covering data, supply chain and commerce management. Two groups of modules matter most for inventory planning. Demand management includes demand forecasting, demand sensing, demand planning, and forecasting by customer and by channel. Inventory management includes shelf-life control for fresh goods, open to buy, network balancing, allocation, multi-echelon optimisation, automatic replenishment and inventory optimisation.
At the centre of the replenishment approach is stocking policy. According to the vendor, the stocking policy module handles multiple rules and criteria, and stock parameters are recalculated dynamically to follow real-time demand while accounting for internal and external conditions, rather than being refreshed once a month in a planning cycle. Demand is treated as local, so the system tries to position each item close to where it will be needed instead of keeping one buffer at network level.
Slimstock delivers the software together with supply chain consultants and reports more than 1,700 customers, which places implementation support inside the standard offer rather than leaving it as a separate negotiation. The company publishes outcome claims as maximums: inventory reduced by up to 30 percent, stockouts cut by up to 50 percent and waste lowered by up to 50 percent. Buyers should treat those as the vendor's upper-bound claims and ask reference customers what they achieved. Slim4 carries no published rate card and is quoted after a demo.
Where it is strong
- Documented scope stretches from forecasting and demand sensing through stocking policy, automatic replenishment, multi-echelon optimisation, allocation and network balancing
- Consultants are part of the published delivery model, and the vendor reports more than 1,700 customers
Watch-outs
- There is no public price and no self-serve tier
- Outcome figures are stated as upper limits, not typical results, and should be tested in reference calls
- Sources
- Product page, documentation
- Billing
- Not recorded
- Source check
- Checked Sep 20, 2026
- Vendor sign-off
- Not confirmed
Netstock
mid-marketNetstock is designed to work on top of an ERP rather than to replace it, and it connects to more than 60 ERP systems. Pricing is quoted after a short questionnaire, but the vendor does state a floor: annual subscriptions begin at $900 monthly, with the final figure depending on the product and bundle chosen. Implementation usually takes 6 to 10 weeks.
The method is documented at item level. Every SKU is classified automatically by velocity and sales volume using a classification matrix, and each item's safety stock then reflects its own supply and demand risk, rather than one service target being applied to a whole group. The vendor describes automatic selection of the most suitable forecasting model for each item, and forecasts by margin, cost, price, unit, region or customer, with analytics engines that keep refining the models as more history builds up.
Planners can build forecasts top-down, bottom-up or middle-out, weekly or monthly, and slice them by key customer, sales channel, product group or single product. Trend and seasonality are handled automatically, and adjustments can be made for past or upcoming promotions and events. The output is a set of recommendations for restocking the network: distribution plans, production work orders and purchase orders. Stock projection forecasts inventory levels a year ahead, and an extended horizon option looks 24 months out for items with long lead times.
Stock projection, advanced forecasting, the 24-month horizon and the AI pack are found in higher bundles, not the entry package. A company with incomplete or inconsistent ERP history should also expect some preparation before the forecasts become reliable.
Where it is strong
- The engine picks a forecasting model for each item automatically and can forecast by product, group, channel or key customer
- Safety stock and reorder points move with demand and supplier risk instead of staying fixed
Watch-outs
- The AI pack, advanced forecasting, stock projection and the 24-month horizon belong to higher bundles
- Because it relies on ERP data, a company with messy item and sales history must clean it up first
- Sources
- Product page, documentation, pricing page
- Billing
- Annual subscription, priced by the Netstock product and bundle selected
- Source check
- Checked Sep 20, 2026
- Vendor sign-off
- Not confirmed
RELEX Solutions
enterpriseRELEX explains its method through a public set of answers to common RFP questions. Its forecasting module uses data mining and machine learning to find demand drivers and measure their effect. Inputs include location and item data, transactions, past sales and outside data such as promotions, price, weather, local events and cannibalisation. Forecasts are produced per SKU per day, or per SKU, customer and day for manufacturers, and roll up to a horizon of 24 months. Automatic data cleansing and model regularisation keep one-off events, outliers and stockouts apart from recurring drivers so the model does not overfit, and changepoint detectors catch abrupt shifts in level or trend.
Replenishment is calculated separately from the forecast. RELEX draws a line between a forecast, which is what customers are expected to buy, and a demand projection, which is what a planner actually has to order. Projections are built from simulations by day, item and location that bring together the latest forecast, inventory on hand, open orders and their expected arrival dates, the ordering calendar, order batch sizes, and targets for presentation and safety stock. The documentation lists the supported methods, including cross-docking, CO-MRP, MRP and reorder point. Parameters are tuned automatically for each product and location from sales history or forecast error, and exceptions are handled by rule or set by hand.
Slow sellers are managed through pooling rather than separate buffers at every store. The answers describe pooled forecasting models, inventory pooled at distribution centre level, coordination groups that synchronise replenishment across locations, and dynamic safety stock. New items borrow a forecast from a reference product chosen automatically on seasonality, weekday pattern and attributes, and the forecast is updated once actual sales begin. RELEX quotes each deployment after a demo.
Where it is strong
- Documentation goes into specifics: horizons, cleansing, changepoint detection, and forecasts for new and phase-out items
- Orders come from daily simulations of real need by item and location, not from the sales forecast on its own
Watch-outs
- No public price, and implementation assumes retail-scale data volumes that smaller firms rarely have
- The deepest documentation is written for retail and grocery, so discrete manufacturers should check the separate demand planning and sensing product
- Sources
- Product page, documentation
- Billing
- Not recorded
- Source check
- Checked Sep 20, 2026
- Vendor sign-off
- Not confirmed
Smart Software
specialistSmart Software is unusually explicit about how its forecasts are made. Smart Demand Planner runs on the Smart IP&O platform and uses the SmartForecasts engine. It holds an automatic tournament to choose a forecasting method for each item, picks up trend, seasonal and cyclical patterns at any level of the hierarchy, finds and corrects outliers in the history, and can model causal factors such as price and economic indicators. Forecasts can be built by item, customer, product group or region, with the item mix reconciled to the aggregate plan.
Intermittent demand is where the vendor differentiates. It describes a patented bootstrapping technology, which it says has won an APICS award, that creates tens of thousands of plausible future demand sequences and cumulative demand totals across an item's lead time. Those simulations are designed to resemble the item's own history statistically instead of assuming a normal distribution. The result is a forecast of the whole distribution of demand over lead time, which is the input that safety stock and service level calculations need for spare parts and expensive, slow-moving items.
Smart Inventory Optimization applies the same probability engine to replenishment. During each daily data import it stress-tests the current stocking policy against thousands of scenarios and recalculates service level, fill rate, and holding, ordering and stockout costs as demand, lead times and costs move. It highlights overstocked and understocked items, recommends service levels rather than leaving planners to set them, and produces parameters for min/max, reorder point and order quantity, safety stock and order-up-to policies. No rate card is published; each Smart IP&O deployment is priced after a demo.
Where it is strong
- Explains its bootstrapping method, and why it suits intermittent demand, in more technical depth than most vendors
- Recommends a service level for each item instead of asking planners to choose one, while still accepting service level limits as business rules
Watch-outs
- No public pricing or self-serve entry, which leaves total cost unknown until a quote
- Its clearest advantage is intermittent demand; a business with steady, fast-moving demand may not benefit from that depth
- Sources
- Product page, documentation
- Billing
- Not recorded
- Source check
- Checked Sep 20, 2026
- Vendor sign-off
- Not confirmed
ToolsGroup
enterpriseToolsGroup's documented approach is probabilistic forecasting. Instead of predicting one expected value for each period, the platform models the whole range of possible demand outcomes and how likely each one is. It builds confidence intervals and probability distributions from past demand, seasonality, promotions, outside signals and changes in operations. The vendor sets this against the best-fit method used by others: its SO99+ product is documented as using a single self-tuning algorithm that adjusts its own features and parameters, and ToolsGroup argues that this gives a steadier forecast than switching between models again and again. SO99+, JustEnough and Evo have since been brought together under the Decion brand.
The demand distribution then drives replenishment. For every combination of SKU and location, the platform builds a curve relating stock to service and uses it to give each item and location its own service and inventory targets, rather than applying a global service level or a blanket safety stock rule. An exchange curve shows the average inventory each fill rate requires, along with the corresponding order-up-to point, reorder point and buffer. Planners can see the stock-versus-service trade-off for the whole range, even for lumpy, intermittent long-tail items and at very high service targets. Replenishment runs across a multi-echelon network and takes supply constraints into account.
New products are handled with launch profiles. These group together product and market combinations that behaved similarly when they launched, giving a new item a starting forecast even with little or no history of its own. Decion pricing follows a demo, deployment by deployment.
Where it is strong
- Documents in detail how probabilistic forecasts set inventory targets, including an exchange curve that plots fill rate against stock parameters
- Targets are set per SKU and location rather than as one rule for a whole item group
Watch-outs
- JustEnough, Evo and SO99+ now sit under the Decion brand, so older documents and reviews refer to retired product names
- No public price and no self-serve option
- Sources
- Product page, documentation
- Billing
- Not recorded
- Source check
- Checked Sep 20, 2026
- Vendor sign-off
- Not confirmed
Questions buyers ask
How long does an inventory planning implementation take?
Only one vendor here publishes a typical timeline: Netstock states 6 to 10 weeks. StockTrim offers a 14-day trial and a $299 onboarding fee, which points to a short self-service start. Lokad's model for each client is written by an assigned Supply Chain Scientist, and Slimstock includes consultants in its delivery model, so timelines for those and for the enterprise platforms are set during scoping.
What contract terms are published?
StockTrim offers monthly or annual billing, with annual plans tied to a 12-month commitment and documented as roughly 25 percent cheaper. Netstock sells an annual subscription priced by product and bundle. The other seven vendors do not publish billing terms, so contract length, renewal and price escalation clauses need to be negotiated.
Which tools publish a price?
Two do. Netstock states a starting price of $900 a month, set by product and bundle. StockTrim publishes a rate card banded by revenue, with $298 a month for the $3m to $5m band on annual billing. Blue Ridge, Kinaxis, Lokad, RELEX, Slimstock, Smart Software and ToolsGroup quote each deployment.
Does inventory planning software replace an ERP?
Generally not. These products pull lead times, sales and item records out of an ERP or inventory system and send back suggested purchase, production or transfer orders. Netstock is explicitly positioned as a layer on the ERP and lists connectors to more than 60 systems. Stock records, barcode scanning and warehouse locations stay in the ERP or a separate inventory system.
How do these products handle items that sell rarely?
For intermittent items, Smart Software's bootstrapping runs very large numbers of simulated demand paths across the lead time. ToolsGroup models full demand distributions and sets targets for lumpy long-tail items from a stock-to-service curve. RELEX pools forecasts and inventory at distribution centre level for slow sellers. Lokad treats both demand and lead time probabilistically.
Which vendors optimise stock across several warehouse tiers?
Blue Ridge, Slimstock, ToolsGroup and RELEX document multi-echelon capability, and Lokad lists multi-echelon allocations among its automated calculations. This matters when a company runs regional distribution centres feeding many outlets; a single-site distributor usually does not need it.
What data should be cleaned before migrating to a planning tool?
Item masters, sales history, lead times and records of stockouts carry the most weight. RELEX documents automatic cleansing that keeps one-off events, outliers and stockouts apart from recurring patterns, and Smart Software corrects outliers in history. Because Netstock runs on ERP data, the state of that data limits how useful its forecasts can be.
How can a buyer check whether AI claims are real?
Blue Ridge describes agentic AI and a generative assistant, and Kinaxis presents driver attribution as a core feature. Buyers should ask for a live demonstration on their own data, confirm which functions are in the current release and contract, and request accuracy measurements for items similar to their own range.
Who may not need dedicated inventory planning software?
A small business with a short, stable product list and reliable suppliers may manage with reorder points in its ERP. The case for a planning tool grows with the number of SKUs and locations, the variability of demand and lead times, and the cost of holding too much or too little stock.
Missing a tool or a fact?
Send corrections with a source link to editorial@frontagestudios.com. Corrections are free. Paid inclusion and placement are quoted by email.
First published November 2026. The update date marks an editorial change, not a fresh check of every source.