Demand planning software forecasts how much of each product customers will buy, by location and period, and turns that forecast into the inputs for inventory, replenishment, production and financial plans. Modern tools combine statistical and machine-learning forecasting with collaboration workflows in which sales, marketing and finance adjust the baseline, and most sit inside broader supply chain planning suites that also cover supply, inventory optimisation and sales and operations planning (S&OP).
This list covers thirteen products available in November 2026. It ranges from enterprise planning platforms, such as Kinaxis Maestro, whose maker reported 2025 revenue of US$548 million, o9 Solutions, Blue Yonder and SAP Integrated Business Planning, which SAP says is used by more than 1,000 companies, to retail-focused RELEX, probabilistic specialists ToolsGroup and Lokad, and mid-market tools such as Netstock, whose pricing starts at US$900 per month.
Entries are ordered by planning scope, the scale of organisations served and published evidence about each vendor, not by review scores.
Contents
- What is demand planning software
- History and market
- Key features to compare
- Pricing models
- How to choose
- Methodology
- The list
- Comparison table
- Alternatives by use case
- Recent developments
- Frequently asked questions
- See also
What is demand planning software
Demand planning is the process of estimating future customer demand so that a company can buy, make and position stock ahead of it. Software for the task ingests sales history, open orders, promotions, prices, seasonality and, increasingly, external signals such as weather or point-of-sale data; generates statistical or machine-learning forecasts at item-location level; lets planners review exceptions and add judgement; and publishes a consensus forecast to downstream processes. Demand sensing, a related function, uses very recent signals to adjust short-term forecasts.
Demand planning is usually one module of a supply chain planning (SCP) suite. Supply planning converts the forecast into purchase and production plans under capacity and lead-time constraints; inventory optimisation sets safety stocks and reorder points, often across several echelons of a distribution network; and S&OP or integrated business planning reconciles operational and financial plans each month. Adjacent categories include ERP software, whose built-in forecasting is generally basic; inventory management software, which executes stock transactions; warehouse management systems; and procurement software. Retailers often buy demand planning bundled with merchandise, assortment and price optimisation.
History and market
Commercial supply chain planning software dates from the 1980s and 1990s, when vendors began running planning calculations separately from ERP transactions. Kinaxis traces its history to June 1984, when it was founded as Cadence Computer Corporation; it launched an in-memory planning engine in 1986, was renamed Kinaxis in 2005, released its first cloud platform the same year and listed on the Toronto Stock Exchange in 2014. ToolsGroup was founded in Boston in 1993 by Joseph Shamir and Eugenio Cornacchia around probabilistic forecasting, RELEX was founded in Finland in 2005, and Lokad has worked on probabilistic supply chain forecasting since 2008.
The market has consolidated around large owners. Panasonic acquired 20% of Blue Yonder in July 2020 and completed the purchase of the remaining 80% in September 2021. Logility, a supply chain planning vendor with more than 50 years in business, now operates as an Aptean company brand. Kinaxis, the largest listed pure-play planning vendor, reported 2025 revenue of US$548.0 million, up 13%, SaaS revenue of US$362.4 million, up 17%, and annual recurring revenue of US$433 million, and guided to 2026 revenue of US$620–635 million.
The latest phase is AI-driven planning. Vendors now describe agentic AI (Blue Yonder, SAP), neurosymbolic AI (o9) or autonomous planning (GMDH Streamline) in their positioning, and Gartner's 2026 Magic Quadrant for Supply Chain Planning Solutions named Kinaxis a Leader, according to Kinaxis.
Key features to compare
Forecasting method
Tools differ in whether they produce a single-number forecast or a probability distribution. Probabilistic forecasting, central to ToolsGroup and Lokad, models the full range of possible demand and is useful for intermittent and long-tail items such as spare parts.
Granularity and scale
Retailers forecast at store-SKU-day level for millions of combinations; manufacturers often forecast monthly by product family and region. ToolsGroup cites an industrial customer managing 1.4 million SKU-market combinations across 42 locations.
Demand sensing and external signals
Short-horizon adjustment from orders, point-of-sale data and events reduces near-term error. SAP IBP and Logility both list demand sensing among their functions.
Collaboration and consensus
Workflow for sales, marketing and finance overrides, with audit trails of who changed the forecast and why, is essential for S&OP.
Integration with supply and inventory planning
An end-to-end suite links the forecast directly to supply plans and safety stocks; a point solution must export to the ERP. Kinaxis, o9, Blue Yonder and SAP IBP span the full chain.
Scenario planning
What-if simulation of demand shocks, supply disruptions or tariffs is a core feature of concurrent-planning platforms such as Kinaxis Maestro.
Implementation time and ERP connectors
Mid-market tools emphasise prebuilt ERP connectors and short projects: Netstock says implementations typically take 6 to 10 weeks.
Pricing models
Demand planning software is almost always sold on annual subscriptions, and few vendors publish prices. Enterprise platforms (Kinaxis, o9, Blue Yonder, SAP IBP, RELEX, Anaplan) are quoted individually, typically on the basis of modules, planning volume such as SKU-location combinations, and user counts, and they are delivered with multi-month implementation projects by the vendor or a systems integrator.
Mid-market vendors are more transparent. Netstock states that subscriptions depend on product and bundle and start at US$900 per month, billed as annual subscriptions. GMDH and others provide customised quotes after a needs discussion. Lokad works through engagements in which its own supply chain scientists build and run the models, so its fees cover service as well as software.
Implementation and change-management costs often exceed licence fees in the first year for enterprise deployments, and data preparation, especially cleaning sales history and master data, is the most common source of overruns.
How to choose
Large manufacturers with complex multi-tier networks and frequent disruptions typically shortlist Kinaxis Maestro, o9 and Blue Yonder; companies standardised on SAP ERP add SAP IBP. Grocery and general retailers forecasting at store level evaluate RELEX and Blue Yonder, both of which also cover replenishment and merchandising.
Distributors and manufacturers with long-tail or intermittent demand, including spare parts businesses, often favour probabilistic tools such as ToolsGroup, Slimstock's Slim4 or Lokad. Mid-sized companies moving off spreadsheets and ERP forecasting modules can start with Netstock, GMDH Streamline or John Galt's Atlas, which emphasise fast implementation. Finance-led organisations that want demand plans inside a wider connected-planning model sometimes choose Anaplan.
Regardless of size, a proof of concept using the company's own history is the most reliable way to compare forecast accuracy, since vendor-reported improvements are measured on different baselines.
Methodology
Products were included if they provide statistical or machine-learning demand forecasting with planner workflows as a core capability and were sold in November 2026. Ordering reflects planning scope (demand only versus end-to-end planning), the scale and complexity of organisations each product is designed for, and the published evidence of each vendor's scale, such as audited revenue, customer counts and analyst positioning reported on vendor pages. Retail specialists and probabilistic specialists follow the end-to-end suites; mid-market tools follow those. Customer outcome figures quoted by vendors are reported as vendor claims. No review scores were used.
The list
1
KM
Concurrent planning platform from a TSX-listed specialist
Best for: Large manufacturers needing concurrent scenario planning
Kinaxis is a supply chain planning company founded and headquartered in Ottawa, Canada. It was founded in June 1984 as Cadence Computer Corporation, launched an in-memory planning engine in 1986, was renamed Kinaxis in 2005, released its first cloud platform the same year and listed on the Toronto Stock Exchange (KXS) in June 2014. Its current platform, Maestro, is described as an AI-infused, end-to-end supply chain platform.
Maestro's distinguishing approach is concurrent planning: demand, supply, inventory and capacity plans run on one in-memory data model, so a change in the forecast propagates immediately and planners can compare scenarios. Kinaxis added AI and machine-learning applications from 2018 and joined planning with execution in 2022. It says it was named a Leader in the 2026 Gartner Magic Quadrant for Supply Chain Planning Solutions for process and discrete industries.
Kinaxis reported 2025 revenue of US$548.0 million, up 13%, SaaS revenue of US$362.4 million, up 17%, and year-end ARR of US$433 million, up 20%, with 2026 revenue guidance of US$620–635 million. Razat Gaurav is chief executive. Pricing is quote-based and projects are substantial, making Maestro better suited to large manufacturers than to small distributors.
Key features
- Concurrent demand, supply and inventory planning
- In-memory scenario simulation
- AI and machine-learning forecasting
- Planning linked to execution
- Open platform for third-party developers
Pricing
Quote-based SaaS subscription; no published prices.
Recent results
FY2025: revenue US$548.0m (+13%), SaaS revenue US$362.4m (+17%), ARR US$433m (+20%), adjusted EBITDA margin 25%; FY2026 guidance US$620–635m.
- Founded
- 1984
- Headquarters
- Ottawa, Canada
- Listed on
- TSX (KXS)
- Revenue (FY2025)
- US$548.0m
- CEO
- Razat Gaurav
Strengths
- Single data model for concurrent planning
- Strong scenario and what-if capabilities
- Audited public-company financials
- Long planning heritage
Limitations
- No published pricing
- Large implementation effort
- Oriented to big manufacturers
- Retail store-level forecasting less central
2
Enterprise planning platform built around a knowledge graph
Best for: Global enterprises integrating commercial and supply planning
o9 Solutions is an enterprise planning software company co-founded by Sanjiv Sidhu, a board member, and Chakri Gottemukkala, its executive chairman and chief executive. o9 has offices in the Americas, Asia, Europe, Oceania and India and serves automotive, consumer products, energy and resources, high tech, industrial manufacturing, life sciences, retail, telecoms and wholesale distribution customers, in more than 30 industries in total.
The o9 platform, the o9 Enterprise Brain, uses what the company calls neurosymbolic AI to connect enterprise knowledge with AI reasoning for demand planning and coordinated action. Its applications cover demand planning and sensing, supply planning, integrated business planning, revenue management, price optimisation and procurement on one graph-based data model, so commercial and financial plans can be reconciled with supply.
o9 is typically selected by large consumer-goods, industrial and retail companies replacing older planning suites. It does not publish prices, customer counts or financial results, and implementations require significant data-modelling work by o9 or partners.
Key features
- Enterprise knowledge graph data model
- Demand planning and sensing
- Integrated business planning
- Revenue management and price optimisation
- Neurosymbolic AI reasoning
Pricing
Quote-based; no published prices.
- Co-founders
- Sanjiv Sidhu, Chakri Gottemukkala
- CEO
- Chakri Gottemukkala
- Industries served
- 30+
- Pricing
- Quote-based
Strengths
- Broad commercial-to-supply planning scope
- Single graph data model
- Strong presence in consumer goods and retail
- Founders with long planning-software history
Limitations
- No published pricing or customer counts
- Privately held with limited financial disclosure
- Data-modelling effort during implementation
- Overkill for mid-sized firms
3
Panasonic-owned planning and execution suite with 3,000+ customers
Best for: Retailers and consumer-goods firms wanting planning plus execution
Blue Yonder is a supply chain software company owned by Panasonic. Panasonic bought a 20% stake in July 2020 and completed the purchase of the remaining 80% in September 2021, after antitrust and regulatory approvals. Blue Yonder says it has close to 40 years of customer engagements, more than 3,000 customers and customers in 81 countries and territories; Duncan Angove is chief executive.
The company's AI-driven platform covers supply chain planning, including demand planning, along with warehouse management, transportation management, order management and returns, on a common data cloud, with a multi-enterprise network for collaboration with suppliers and partners. Blue Yonder markets predictive, generative and agentic AI and has launched what it calls Cognitive Solutions. Published customer examples include DHL, Carlsberg and Walgreens.
Blue Yonder's breadth across planning and execution is unusual and particularly strong in retail and consumer goods, where demand forecasting at store and channel level feeds replenishment and fulfilment. Prices are quote-based, and customers on older on-premises versions face migration projects to the cloud platform.
Key features
- AI demand planning and forecasting
- Supply and inventory planning
- Warehouse and transportation management
- Order management and returns
- Multi-enterprise supply chain network
Pricing
Quote-based subscription; no published prices.
- Owner
- Panasonic (100% since September 2021)
- CEO
- Duncan Angove
- Customers
- 3,000+
- Countries with customers
- 81
Strengths
- Covers planning through fulfilment and returns
- Deep retail and consumer-goods experience
- Large customer base
- Backed by Panasonic
Limitations
- No published pricing
- Complex suite with long implementations
- Older on-premises customers face migration
- Limited separate financial disclosure
4
SAP's cloud supply chain planning suite used by 1,000+ companies
Best for: Companies running SAP ERP
SAP Integrated Business Planning (SAP IBP) is SAP's cloud supply chain planning solution. It integrates demand, supply, inventory and sales and operations planning, and it integrates with SAP ERP and third-party systems. SAP says more than 1,000 companies use SAP IBP, ranging from multinationals to medium-sized enterprises in manufacturing, retail, consumer goods, pharmaceuticals, automotive and aerospace.
For demand planning, SAP IBP offers AI-powered algorithms, statistical modelling, demand sensing and automated outlier correction in sales history. Supply planning models multi-level bills of materials across locations, inventory optimisation balances carrying costs, stockouts and service levels, and the S&OP process combines financial and operational planning with simulations of demand and supply changes. SAP now markets IBP alongside AI agents and a unified platform that connects sales, demand, inventory, supply and production; published users include SMA Solar, BYK and Microsoft.
SAP IBP is the default shortlist candidate for SAP ERP customers because of native integration. Non-SAP companies may find specialist suites quicker to deploy, and SAP does not publish IBP prices.
Key features
- Statistical and AI forecasting
- Demand sensing and outlier correction
- Multi-level supply planning
- Inventory optimisation
- Sales and operations planning with simulations
Pricing
Quote-based cloud subscription; SAP offers a value estimator but no published prices.
- Vendor
- SAP
- Companies using it
- 1,000+
- Deployment
- Cloud
- Pricing
- Quote-based
Strengths
- Native integration with SAP ERP
- Covers demand, supply, inventory and S&OP
- Demand sensing included
- Large SAP partner ecosystem
Limitations
- No published pricing
- Less attractive outside SAP landscapes
- Configuration requires specialist consultants
- Store-level retail forecasting less specialised than retail suites
5
Finnish retail and consumer-goods planning platform
Best for: Grocery and specialty retailers
RELEX Solutions was founded in Finland in 2005 by three supply chain scientists, Mikko Kärkkäinen, Johanna Småros and Michael Falck, to reduce waste in the consumer goods value chain. The company now has more than 2,300 employees in 21 countries and says it is trusted by about 700 customers globally.
RELEX describes its product as an AI platform for planning and decision-making across demand, inventory, merchandising, pricing and supply for retailers, manufacturers and wholesalers. Its demand forecasting works at granular store and product level and feeds automated replenishment, allocation, space and assortment planning, promotion planning, and price and markdown optimisation, so a forecast change flows through to orders and shelf decisions. The company emphasises reduced food waste and fresh-goods forecasting, a key use case for grocery customers.
RELEX is strongest in grocery, convenience and specialty retail and in consumer-goods manufacturers that collaborate with retailers. Manufacturers with complex production constraints may need a separate supply planning tool. Pricing is quote-based.
Key features
- Store-level demand forecasting
- Automated replenishment and allocation
- Promotion and markdown planning
- Space and assortment planning
- Price optimisation
Pricing
Quote-based subscription; no published prices.
- Founded
- 2005
- Origin
- Finland
- Employees
- 2,300+
- Customers
- About 700
Strengths
- Deep retail forecasting and replenishment
- Strong fresh-food capabilities
- Unified planning from forecast to shelf
- Fast-growing vendor with global presence
Limitations
- No published pricing
- Less suited to complex manufacturing supply planning
- Large retail-scale implementations
- Privately held with limited disclosure
6
Probabilistic forecasting and inventory optimisation pioneer
Best for: Distributors and manufacturers with long-tail demand
ToolsGroup was founded in Boston in 1993 by Joseph Shamir and Eugenio Cornacchia on the premise that supply chains are probabilistic and planning should be too. The company says it built the first service-driven supply chain planning software and the first multi-echelon inventory optimisation. It reports more than 300 enterprise customers.
ToolsGroup's planning software generates probabilistic demand forecasts, sets inventory targets to achieve chosen service levels across multi-echelon networks, and supports replenishment and retail planning. The company cites an industrial manufacturer managing 1.4 million SKU-market combinations across 42 locations and 17 ERP systems with a global team of two, and a customer that cut spare-parts stock by 30% while raising service levels from 87% to 97% over three years; these are vendor-reported results. ToolsGroup says it was recognised in the 2026 Gartner Magic Quadrant for Supply Chain Planning Solutions: Discrete Industries.
The probabilistic approach suits long-tail, intermittent and service-parts demand. ToolsGroup is less known for S&OP and finance integration than the end-to-end suites, and it does not publish prices.
Key features
- Probabilistic demand forecasting
- Multi-echelon inventory optimisation
- Service-level-driven planning
- Replenishment and retail planning
- Handles millions of SKU-location combinations
Pricing
Quote-based; no published prices.
- Founded
- 1993
- Founders
- Joseph Shamir, Eugenio Cornacchia
- Origin
- Boston, US
- Customers
- 300+ enterprises
Strengths
- Pioneer of probabilistic forecasting
- Strong multi-echelon inventory optimisation
- Good fit for intermittent demand
- Scales to very large SKU counts
Limitations
- No published pricing
- Narrower S&OP and finance integration
- Smaller vendor than end-to-end suites
- Results figures are vendor-reported
7
L
Aptean-owned supply chain planning suite with 800+ customers
Best for: Mid-sized and large consumer-goods and apparel firms
Logility is a supply chain planning vendor with more than 50 years in business and more than 800 customers. It now operates as an Aptean company brand. Its suite spans demand planning, inventory optimisation, supply planning, scenario planning, merchandise planning, product lifecycle management, supplier management, network optimisation and manufacturing execution.
For demand planning, Logility offers DemandAI+ and demand sensing, complemented by InventoryAI+, multi-echelon inventory optimisation and automated inventory policies; S&OP and sales and operations execution (S&OE) are delivered through a Decision Command Center. Logility's published customer examples include Tillamook County Creamery Association, which it says cut finished-goods inventory by 75%, Reynolds Consumer Products with a 20% improvement in forecast accuracy and Ferguson with a 70% improvement; these are vendor-reported outcomes.
Logility serves consumer goods, food and beverage, apparel and industrial companies in the mid-market and lower enterprise segments. Its integration into Aptean, a group of ERP and industry software businesses, may bring closer ERP ties; pricing is not published.
Key features
- DemandAI+ forecasting
- Demand sensing
- InventoryAI+ and multi-echelon optimisation
- S&OP and S&OE command centre
- Merchandise and product lifecycle planning
Pricing
Quote-based; no published prices.
- Owner
- Aptean
- Years in business
- 50+
- Customers
- 800+
- Pricing
- Quote-based
Strengths
- Broad planning suite including apparel merchandising
- AI forecasting and demand sensing
- Large installed base
- Mid-market friendly
Limitations
- No published pricing
- Ownership change brings roadmap uncertainty
- Outcome figures are vendor-reported
- Less presence in very large global enterprises
8
Connected-planning platform spanning finance and supply chain
Best for: Finance-led integrated business planning
Anaplan is a planning platform company that has operated since 2006 and says more than two million models have been deployed on its platform. It is best known for financial planning and analysis, sales performance management and workforce planning, but also sells supply chain applications, including demand planning, supply planning and S&OP, on the same multidimensional modelling engine.
Anaplan's distinguishing feature is its modelling flexibility: planners build models in a spreadsheet-like but centrally governed environment, linking demand forecasts to revenue, margin and workforce plans. The company emphasises AI at the core of the platform and says it achieved ISO/IEC 42001 certification for responsible AI governance. Delivery is typically through a global partner network.
Anaplan suits finance-led organisations that want demand plans tightly connected to financial plans, or that run integrated business planning across many functions. Its supply chain optimisation algorithms are less specialised than those of dedicated planning vendors, so companies with complex inventory networks often pair it with a specialist tool. Pricing is quote-based.
Key features
- Multidimensional connected-planning models
- Demand and supply planning applications
- Financial and workforce planning on one platform
- AI capabilities with ISO/IEC 42001 certification
- Partner-delivered implementations
Pricing
Quote-based subscription; no published prices.
- Operating since
- 2006
- Models deployed
- 2 million+
- AI governance
- ISO/IEC 42001 certified
- Pricing
- Quote-based
Strengths
- Links demand plans to financial plans
- Flexible modelling
- Strong in FP&A-driven organisations
- Certified AI governance
Limitations
- Supply chain algorithms less specialised
- Model-building requires skilled architects
- No published pricing
- Often paired with a specialist planning tool
9
Inventory and demand planning software with 1,700+ customers
Best for: European wholesalers and distributors
Slimstock is a European supply chain planning company that has worked on inventory and demand planning for more than 30 years. It reports more than 1,700 customers, activity in 75 countries and offices in 28 countries. Its main product is Slim4, a forecasting and inventory optimisation platform, and the company also offers sales and operations planning and price management software.
Slim4 is aimed at wholesalers, retailers and manufacturers that need item-level forecasting, safety-stock setting and replenishment proposals connected to their ERP. Recent customer announcements include sports-equipment group Oberalp, which chose Slim4 to gain an overview of demand and stock as part of its digital transformation. Slimstock reports ISO 27001:2022 certification audited by DNV and NIS2 supply-chain certification at SC30 level, and a partnership with Argon & Co Middle East to serve the Gulf region.
Slimstock's local offices provide implementation in many languages, an advantage for European mid-market companies. It is less focused on complex production constraint planning than end-to-end suites, and pricing is not published.
Key features
- Item-level demand forecasting
- Safety stock and inventory optimisation
- Replenishment proposals to ERP
- Sales and operations planning
- Price management module
Pricing
Quote-based; no published prices.
- Experience
- 30+ years
- Customers
- 1,700+
- Countries active
- 75
- Offices
- 28 countries
Strengths
- Large mid-market customer base
- Local implementation teams
- ISO 27001:2022 certified
- Strong inventory focus
Limitations
- No published pricing
- Limited production constraint planning
- Less known in North America
- Separate modules for S&OP and pricing
10
AI planning platform built on 30 years of planning experience
Best for: Mid-market manufacturers wanting fast deployment
John Galt Solutions is a US supply chain planning software company whose Atlas Planning Platform is described as an AI supply chain planning platform built on the company's 30 years of supply chain expertise. Atlas is delivered as SaaS and covers demand planning, inventory optimisation, supply planning, S&OP and order-to-shipment processes.
John Galt positions Atlas on usability and implementation speed. One customer quoted on its site says implementation was completed in three months and replaced multiple Excel data sources with a single source of data, and the company cites Mars, which used Atlas to digitise planning across 60 countries with a consistent process in each market. The vendor also promotes a 2026 Enterprise Supply Chain Planning Value Matrix in which it says Atlas leads on usability.
Atlas is a mid-market and lower-enterprise option for consumer-goods, food and industrial companies that want more than ERP forecasting without a multi-year programme. It is a smaller vendor than Kinaxis or o9, and prices are quote-based.
Key features
- AI demand forecasting
- Inventory and supply planning
- Sales and operations planning
- Order-to-shipment conversion
- SaaS delivery
Pricing
Quote-based SaaS subscription; no published prices.
- Product
- Atlas Planning Platform
- Experience
- 30 years
- Delivery
- SaaS
- Pricing
- Quote-based
Strengths
- Emphasis on usability
- Shorter implementations reported
- Covers demand through S&OP
- Proven at multinational scale
Limitations
- No published pricing
- Smaller vendor and ecosystem
- Limited public company information
- Usability claims are vendor-reported
11
L
Probabilistic forecasting delivered by supply chain scientists
Best for: Spare parts, aerospace and fashion with uncertain demand
Lokad is a supply chain optimisation company that has worked on probabilistic forecasting and ROI-oriented decision-making since 2008. It uses differentiable programming and a team of supply chain scientists who build and maintain each client's optimisation logic, rather than selling a configurable planning package. Lokad says it has grown by an average of 50% a year, financed by customer revenue after initial funding from family and a few business angels, without further investors.
Instead of producing a single forecast that planners then adjust, Lokad generates probabilistic forecasts of demand and lead times and converts them directly into prioritised purchase, production or allocation decisions ranked by expected financial return. Its published case studies include work for a US$1 billion retailer on Black Friday planning. The approach suits aerospace maintenance, spare parts, fashion and retail businesses with uncertain, intermittent demand.
Lokad's service-heavy model means clients depend on its scientists for model changes, and it does not offer the planner-facing collaboration workflows of mainstream S&OP software. Fees are agreed per engagement.
Key features
- Probabilistic demand and lead-time forecasts
- Decisions ranked by financial return
- Differentiable programming
- Dedicated supply chain scientists
- Purchase, production and allocation optimisation
Pricing
Engagement-based fees covering software and supply chain scientists; no published price list.
- Operating since
- 2008
- Funding
- Self-financed after angel round
- Delivery
- Software plus supply chain scientists
Strengths
- Directly optimises decisions, not just forecasts
- Strong on intermittent demand
- Independent and self-financed
- Expert team included
Limitations
- Dependence on vendor scientists
- Fewer planner collaboration features
- No published pricing
- Different approach requires organisational change
12
ERP-connected demand and inventory planning from US$900/month
Best for: SME distributors running mid-market ERPs
Netstock sells cloud demand and inventory planning software for small and mid-sized distributors, wholesalers and manufacturers. The product connects to the customer's ERP and automatically converts raw ERP data into forecasts, inventory recommendations and order proposals, with AI capabilities and an inventory health assessment.
Netstock is unusual in publishing a starting price: subscription cost depends on the product and bundle chosen and starts at US$900 per month, sold as annual subscriptions. It says implementation typically takes 6 to 10 weeks depending on data complexity, business size and the ERP being integrated, and includes training and a dedicated team. The vendor claims its software usually pays for itself within weeks; that is a vendor statement. Netstock publishes an annual Supply Chain Planning Benchmark Report and reports ISO 27001 security certification.
Netstock is designed for companies whose ERP forecasting is too basic but who do not need enterprise S&OP or production scheduling. Its depth in multi-echelon and constraint-based planning is limited compared with enterprise suites.
Key features
- Prebuilt ERP integrations
- Demand forecasting and order proposals
- Inventory health scoring
- AI planning assistance
- 6–10 week implementations
Pricing
Annual subscription based on product and bundle; from US$900/month; estimate via online form.
- Price from
- US$900/month
- Implementation
- 6–10 weeks typical
- Security
- ISO 27001
- Target
- SME distributors and manufacturers
Strengths
- Published starting price
- Fast implementation
- Designed for ERP-centric SMEs
- Annual benchmark research
Limitations
- Limited production and constraint planning
- Annual commitment
- Less suited to complex global networks
- Payback claims are vendor-reported
13
Autonomous demand and inventory planning for mid-sized firms
Best for: Mid-sized companies replacing spreadsheet forecasting
Streamline is a supply chain planning product from GMDH, marketed as autonomous supply chain planning software for demand forecasting, inventory optimisation and replenishment. It is aimed at mid-sized distributors, retailers and manufacturers moving from spreadsheets or ERP reports to dedicated planning.
Streamline connects to ERP and accounting systems through API or ODBC connections, and GMDH claims ten times faster implementation than conventional projects. Its site cites customer outcomes such as a furniture brand cutting overstock by US$56,000 a month and pharmaceutical companies reducing inventory by 40–50%; these are vendor-reported figures. Pricing is customised after a discussion of the customer's needs rather than published.
Streamline is an accessible step up from spreadsheet planning with a focus on ease of deployment. It lacks the scenario modelling, multi-echelon optimisation and enterprise S&OP depth of the larger platforms in this list, and its customer outcome claims have not been independently verified.
Key features
- Automated demand forecasting
- Inventory optimisation and replenishment
- API and ODBC connectors
- Fast implementation focus
- Collaborative planning workspace
Pricing
Customised pricing after a needs assessment; no published prices.
- Vendor
- GMDH
- Integration
- API or ODBC
- Pricing
- Quote-based
Strengths
- Simple, fast deployment
- Connects to many ERPs
- Good step up from spreadsheets
- Covers forecasting and replenishment
Limitations
- No published pricing
- Limited enterprise S&OP depth
- Outcome claims are vendor-reported
- Smaller vendor
Frequently asked questions
What is demand planning software?
Demand planning software forecasts future customer demand for each product, location and period using sales history, orders, promotions and other signals, and lets planners review and adjust those forecasts collaboratively. The resulting consensus forecast drives inventory targets, purchasing, production plans and financial budgets. It is usually part of a wider supply chain planning suite that also covers supply planning and S&OP.
What is the difference between demand planning and demand forecasting?
Demand forecasting is the statistical or machine-learning calculation that predicts future sales. Demand planning is the wider business process around it: cleaning history, generating the forecast, adding input from sales and marketing, agreeing a consensus number and publishing it to supply, inventory and finance plans. Demand planning software therefore includes forecasting engines plus workflow, collaboration and reporting.
How much does demand planning software cost?
Most vendors quote prices individually. Netstock publishes a starting price of US$900 per month on annual subscription, which indicates the entry level for SME tools. Enterprise platforms such as Kinaxis, o9, Blue Yonder and SAP IBP are priced on modules, data volumes and users and are normally accompanied by implementation projects that can cost as much as the software in the first year.
Can ERP systems do demand planning?
Most ERP systems include basic forecasting, such as moving averages or simple statistical models feeding reorder points. They generally lack advanced machine-learning models, probabilistic forecasting, demand sensing, consensus workflows and scenario planning. Companies with many products, volatile demand or multi-tier distribution networks therefore add a dedicated planning tool that reads data from the ERP and writes back orders or targets.
What is probabilistic forecasting?
Probabilistic forecasting estimates the full probability distribution of future demand rather than a single expected value. Planners can then set stock levels to reach a chosen service level and see the risk of stockouts or excess explicitly. ToolsGroup and Lokad are built around this approach, which is particularly useful for intermittent, long-tail or spare-parts demand.
How long does it take to implement demand planning software?
Mid-market tools aim for weeks: Netstock says its implementations typically take 6 to 10 weeks depending on data, business size and ERP. Enterprise suites covering demand, supply and S&OP across many countries usually run several months or longer, often in phases. Data preparation, particularly cleansing sales history and product hierarchies, is typically the longest task.
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