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Arkieva Orbit

Arkieva Orbit is a digital supply chain planning platform that centralizes planning data for analytics and cross-functional sales and operations planning.

Place
#15 of 27
Score
5.6
Arkieva Orbit's website

What Arkieva Orbit is

Arkieva Orbit is a digital supply chain planning platform that centralizes planning data for analytics and cross-functional sales and operations planning. Its One-Plan process gives teams a shared data source, while demand, inventory, capacity, and supply planning cover work such as demand segmentation, inventory alerts, capacity analysis, and MRP, DRP, and CRP. Planners can model multiple what-if scenarios and turn them on or off. Orbit combines in-memory OLTP and OLAP processing in a multithreaded engine that uses available CPUs. Analytics include predictive and time-series analysis, forecasting algorithms, rule-based AI, implementation diagnostics, and R integration. It can be deployed on-premise, in the cloud, or in a hybrid setup, with web and self-hosted access. A unified data model connects Arkieva planning modules and external applications. Arkieva Data Connector supports batch and real-time links to multiple systems, including ERP, CRM, data warehouse, and BI sources. Pricing is available on request.

Good

  • Central repository supports cross-functional One-Plan planning
  • Covers demand, inventory, capacity, and supply planning
  • Supports multiple what-if scenarios
  • Offers cloud, on-premise, and hybrid deployment

Watch out

  • Pricing is available on request
  • Implementation support and modeling are part of a customer engagement

Who it suits

Orbit is aimed at organizations coordinating demand, inventory, capacity, and supply plans across functions. It may suit teams that need scenario analysis and integrations with external business systems.

Verdict

Orbit brings multiple supply-chain planning functions and analytics into one platform, with deployment choices and real-time integration options. Organizations should request pricing and assess its fit with their planning systems and implementation needs.

Plans and prices

From Arkieva Orbit's own pricing page, checked 1 Oct 2026.

All about pricing
PlanPriceWhat it gives you
Arkieva OrbitPriced on request—

The facts

Each one read from Arkieva Orbit's own pages, with the date it was checked.

What it does

Analytics
Orbit includes predictive analytics, time-series analysis, fast forecasting algorithms, rule-based AI, automated implementation diagnostics and R integration.checked 1 Oct 2026
Customer support
Arkieva describes working alongside planning teams before, during and after implementation to adapt models and continuously improve outcomes.checked 1 Oct 2026
Data integration
Arkieva Data Connector supports batch and real-time integration, multiple source and target systems, SAP BAPI/RFC and IDoc technologies, and ERP, CRM, data warehouse and BI sources.checked 1 Oct 2026
Deployment
The solution can be installed on-premise or in the cloud, with cloud, on-premise and hybrid deployment options.checked 1 Oct 2026
Engine
The platform uses in-memory OLTP and OLAP with a multithreaded engine using available CPUs.checked 1 Oct 2026
Integrations
Orbit uses a unified data model and integrates with Arkieva planning modules and external applications.checked 1 Oct 2026
Purpose
Orbit is an advanced in-memory digital supply chain planning platform with a centralized repository for planning and on-the-fly analytics.checked 1 Oct 2026
Security
Arkieva says it uses physical, electronic and managerial procedures to safeguard information and prevent unauthorized access or disclosure.checked 1 Oct 2026
S&OP
Orbit provides one data source for a synergized One-Plan sales and operations planning process with cross-functional collaboration.checked 1 Oct 2026

Money

Capacity planning
Capacity planning supports what-if analysis, identification of capacity shortfalls or excess, and analysis across hierarchies.checked 1 Oct 2026
Demand planning
Demand capabilities include dynamic demand analysis and segmentation, demand sensing and shaping, and optimized demand planning.checked 1 Oct 2026
Inventory planning
Inventory capabilities include flexible inventory metrics, obsolete or off-spec inventory identification, and automatic alerts for out-of-balance inventory levels.checked 1 Oct 2026
Scenario planning
Orbit supports turning multiple what-if scenarios on or off and simulating as many scenarios as needed without limitations.checked 1 Oct 2026
Supply planning
Supply planning supports MRP, DRP and CRP while balancing supply and demand through production planning.checked 1 Oct 2026

Where it runs

Device access
The platform provides access to planning data from any device and references the Arkieva Insights mobile application.checked 1 Oct 2026

The company

Founded
1993checked 28 Sep 2026
Headquarters
Wilmington, Delaware, USAchecked 28 Sep 2026
The full review of Arkieva Orbit

Arkieva Orbit is a supply-chain planning platform that brings demand, inventory, capacity and production work into a shared system. It suits organizations whose planning teams must coordinate across functions and deployment environments. Its broad scope and real-time data are persuasive, while custom pricing and integration work make fit assessment essential.

Overview

Orbit is built around a centralized repository for planning and on-the-fly analytics. That repository supports a shared One-Plan sales and operations planning process, giving sales, operations and other functions a common basis for decisions. Financial alignment is supported, and data refresh is real-time.

Its in-memory OLTP and OLAP architecture uses a multithreaded engine and available CPUs for transactional work and analysis. This design is a strong fit for organizations that want operational planning and analytics in one environment rather than separate tools. It is less compelling for a team seeking a narrowly focused forecasting or replenishment application.

Key features

End-to-end planning

Demand planning combines dynamic analysis and segmentation with demand sensing, shaping and optimization. In practice, that gives planners ways to distinguish demand patterns, respond to signals and influence demand decisions rather than simply publish a forecast.

Inventory planning adds flexible metrics, identification of obsolete or off-specification stock, and automatic alerts when inventory is out of balance. Those controls are useful where excess, aging or uneven stock has a material operational cost.

Supply planning supports MRP, DRP and CRP, with production planning that balances supply and demand. Capacity planners can run what-if analysis, identify shortfalls or excess, and examine capacity across hierarchies. Together, these functions help teams follow trade-offs from demand through production; organizations that only need one planning discipline may find the wider platform unnecessary.

Scenarios and analytics

Orbit can turn multiple what-if scenarios on or off and simulate as many scenarios as needed without a stated limit. That is valuable for comparing supply, capacity and demand responses before committing to a plan.

Predictive analytics, time-series analysis, fast forecasting algorithms, rule-based AI, automated implementation diagnostics and R integration extend the analytical toolkit. The combination should appeal to teams with established analytical practices, although the value depends on how well those methods fit existing planning governance.

Deployment and integration

Organizations can install Orbit on-premise or in the cloud, including hybrid arrangements. Planning data is accessible from any device, with the Arkieva Insights mobile application referenced for mobile access. This range helps companies with differing infrastructure or data-residency requirements.

A unified data model connects Arkieva planning modules and external applications. Arkieva Data Connector handles batch and real-time integration across multiple source and target systems, including SAP BAPI/RFC and IDoc technologies, ERP, CRM, data-warehouse and BI sources. Buyers should involve integration owners early: the breadth is useful, but the platform must be mapped carefully to current systems and data responsibilities.

Security and support

Arkieva describes physical, electronic and managerial safeguards against unauthorized access or disclosure. It also describes working with planning teams before, during and after implementation, adapting models and improving outcomes over time. That continuing involvement is relevant for complex planning programs rather than quick, self-directed deployments.

Pricing

Orbit is paid software with custom pricing. The Arkieva Orbit plan has no published price, so the eventual cost must be judged against the number of planning functions, deployment model, integration scope and implementation support required. There is no stated free plan, trial term, seat allowance or renewal condition to use as a simple cost benchmark.

Custom pricing is appropriate for organizations that need a configured supply-chain platform and can run a requirements-led buying process. Smaller teams or buyers needing transparent, immediately comparable pricing may prefer an alternative with a clearer entry point.

Platforms

Orbit supports self-hosted and web access. Deployment can be on-premise, cloud or hybrid, and planning data can be accessed from any device. This is a practical advantage for enterprises balancing infrastructure control with browser-based access.

Who it's for

Orbit is aimed at cross-functional supply-chain organizations running sales and operations planning alongside demand, inventory, capacity and supply planning. It is particularly suitable when a shared repository, real-time refresh, scenario analysis and integration with enterprise systems are priorities. Organizations without a broad planning process, or those wanting a single-purpose tool, should look for a narrower product.

Pros and cons

Pros

  • Broad planning coverage: demand, inventory, capacity, supply and production functions can be coordinated in one platform.
  • Shared, current data: a centralized repository, financial alignment and real-time refresh support a common operating plan.
  • Flexible deployment: cloud, on-premise and hybrid choices accommodate different infrastructure policies.
  • Strong scenario and integration options: unlimited stated scenario simulation and batch or real-time connectors support complex planning environments.

Cons

  • Custom-cost purchase: without a published price, budgeting and direct comparison require a sales process.
  • Implementation demands: broad integrations and model adaptation call for substantial planning and systems involvement.
  • Potential overreach for focused teams: buyers needing only forecasting, replenishment or one planning function may pay for capabilities they will not use.

Alternatives

Choose Sales and Operations Planning Software when you want to compare a category of S&OP tools rather than commit to Orbit's full platform.

Scenario Planning Software is the better starting point when what-if modelling is the central requirement.

Pick NETVIBES instead if Android or iOS access, a free plan and a free trial matter; its Enterprise Data Science plan has custom pricing.

Manhattan Active Inventory Replenishment is a focused alternative for web or API-based replenishment without a free plan.

Consider Logility Digital Supply Chain Platform for cloud planning with one production and one non-production environment included by default.

RELEX Solutions is another paid option with API and iOS platforms.

Choose AIMMS Sales and Operations Planning when pricing scoped to the problem, scale and ambition and support for Linux or Windows are important.

Blue Ridge Replenishment Optimization suits buyers seeking a web-based replenishment product priced through a demo-led process.

Consider DELMIA Demand Planning when a Windows demand-planning package with quote-based pricing is the target.

E2open Planning is a paid alternative whose Connected Planning pricing is provided by contacting e2open.

Verdict

Choose Arkieva Orbit if your organization needs one platform for coordinated supply-chain planning, real-time information, extensive scenario analysis and flexible deployment. Its main reason to choose is the combination of planning breadth and a shared data foundation. Look elsewhere if transparent pricing, a quick single-function deployment or a lighter integration burden matters more than enterprise-wide planning coverage.

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