Atlas Planning Platform
by John Galt Solutions · Demand & Supply Planning
AI-driven SaaS platform for end-to-end supply chain planning
- Works with
- SAP, Oracle, Microsoft Dynamics
- Deployment
- Cloud
- Company size
- Mid-market, Enterprise
- Pricing
- Quote-based subscription (SaaS)
- Founded
- 1996
- Headquarters
- Dallas, Texas, USA
Overview
Atlas Planning Platform is John Galt Solutions' cloud-based supply chain planning suite, designed to connect and orchestrate planning processes from demand forecasting through supply planning, inventory optimization, sales and operations planning (S&OP/IBP), production scheduling, and order fulfillment. Rather than a single-function tool, Atlas is a modular platform intended to act as a planning layer above a company's ERP, pulling transactional data in and pushing optimized plans back out.
The platform is built on an event-driven architecture and a low-code/no-code framework (the Atlas Developer Studio, an API marketplace, and microservices) that John Galt positions as enabling configurable, phased deployments. Atlas applies AI and machine learning across its modules — composite AI that runs multiple forecasting models in parallel, demand sensing against signals such as POS and external market data, probabilistic and constraint-based supply planning, and what-if scenario simulation against a digital supply chain twin.
Atlas is ERP-agnostic and connects to source systems through Galt Connect, the vendor's integration layer for ERPs, CRMs, warehouse systems, and external data feeds. The company markets deep experience integrating with SAP environments (SAP ECC, S/4HANA, and as an alternative or complement to SAP IBP), alongside support for Oracle and Microsoft Dynamics. It is primarily aimed at mid-market and large global enterprises in industries with complex, multi-echelon supply chains such as consumer products, food and beverage, life sciences, industrial manufacturing, and distribution.
Screenshots & demo
Demo video from the vendor's YouTube channel. Screenshots sourced from John Galt Solutions.
Features & capabilities
Demand Planning & Forecasting
Statistical and AI-driven forecasting across the product hierarchy.
- Composite AI running multiple forecasting models simultaneously with automatic method selection
- Demand sensing against POS data, social signals, and external market indicators
- Attribute-based forecasting for new products lacking sales history
- Hierarchical forecasting at item, channel, location, and region levels
- Causal and non-linear relationship modeling
- Reinforcement learning for continuous model improvement
- Forecast bias removal and variance accounting
- Promotion and new product introduction (NPI) planning
Supply Planning
Constraint-based planning across the manufacturing and supplier network.
- Constraint-based planning across production, labor, storage, transportation, and financial limits
- Multi-echelon supply planning across third-party suppliers and contract manufacturers
- Multi-horizon reconciliation of long-term and mid-term production plans
- Production sequencing and changeover optimization across multi-plant networks
- Cost-to-serve optimization across transaction, activity, and volume costs
- Discrete and process manufacturing support
- Demand-responsive planning against material availability and channel constraints
Inventory Optimization
- Multi-echelon inventory optimization (MEIO) combining network design and procurement strategy
- Dynamic inventory level adjustment based on seasonal demand
- Inventory-on-hand modeled as a capacity constraint within planning
- Real-time inventory synchronization across internal facilities and external partners
- Automatic order generation between facilities and partners
S&OP / Integrated Business Planning
- Unified operational and financial planning
- Multi-enterprise collaborative planning across sales, marketing, finance, and operations
- Department-specific dashboards and data visualization
- Financial budget and sales forecasting alignment
- Reconciliation of changes from multiple perspectives without conflicts
Scenario Modeling & Decision Intelligence
- What-if scenario modeling run in parallel
- Probabilistic planning to anticipate yield and resource variation
- Digital supply chain twin simulation
- Experiment-driven planning across thousands of scenario variations
- Intelligent workflows automating decisions across roles
- Stress-testing plans against demand shifts, cost fluctuations, and disruptions
Platform & Extensibility
- Low-code/no-code Atlas Developer Studio
- API marketplace and microservices architecture
- Event-driven architecture connecting systems, data subscriptions, and processes
- User-configurable dashboards
- Galt Connect integration layer for ERP, CRM, WMS, and external data sources
Common use cases
- Replacing spreadsheet-based demand forecasting with AI-driven statistical planning
- Running collaborative S&OP / IBP across operations and finance
- Optimizing multi-echelon inventory to balance service levels and working capital
- Constraint-based production planning across multi-plant manufacturing networks
- Stress-testing the supply chain with what-if scenarios and a digital twin
- Adding an advanced planning layer on top of SAP, Oracle, or Microsoft Dynamics ERP
- Forecasting demand for new products without historical sales data
Strengths & considerations
Strengths
- ERP-agnostic planning layer positioned as an alternative or complement to native ERP planning such as SAP IBP
- Composite AI approach running multiple forecasting models simultaneously rather than a single method
- Low-code/no-code Developer Studio enabling configurable, modular deployments
- End-to-end coverage from demand through supply, inventory, S&OP, and scheduling in one platform
- Probabilistic and constraint-based planning with digital supply chain twin simulation
Considerations
- Performance can degrade with very large or complex data sets, per user reviews
- Steep learning curve and challenging setup/implementation reported by some reviewers
- Requires clean, well-structured data and significant organizational commitment
- Public pricing is not transparent; deployments are quote-based and typically partner-assisted
- Some reviewers cite formatting and customization limitations in certain areas
ERP integrations
Galt Connect integration layer; vendor markets experience with SAP ECC, S/4HANA, and as a complement to SAP IBP
Connected via Galt Connect; Atlas is also listed on the Microsoft commercial marketplace
Pricing
John Galt does not publish list pricing; pricing is provided on request and varies by modules, users, and deployment scope. Third-party directories list Atlas as subscription-based with no free trial or free version. Get an independent shortlist with pricing guidance below.
Technical & security
- Hosting
- Vendor-hosted SaaS
- Mobile app
- Yes
About the vendor
- Founded
- 1996
- Headquarters
- Dallas, Texas, USA
- Ownership
- Privately held
- Notable customers
- Mars, PING, Deschutes Brewery, Milwaukee Tool, Valent BioSciences, Amcor, Netgear, Reddy Ice, Sara Lee Frozen Bakery
Alternatives to Atlas Planning Platform in Demand & Supply Planning
Atlas Planning Platform — frequently asked questions
Does Atlas replace my ERP?
No. Atlas is a planning platform that sits on top of your ERP. It pulls transactional data from systems such as SAP, Oracle, or Microsoft Dynamics via the Galt Connect integration layer, generates optimized demand and supply plans, and pushes results back to the ERP.
Which ERPs does Atlas integrate with?
John Galt cites integrations with SAP (ECC and S/4HANA), Oracle, and Microsoft Dynamics, plus CRMs, warehouse systems, and external data feeds. It is marketed as ERP-agnostic, with particular depth in SAP environments.
How is Atlas priced?
Atlas is sold as a quote-based SaaS subscription. John Galt does not publish list pricing, and there is no free trial or free version; cost depends on the modules, user count, and deployment scope.
What size of company is Atlas built for?
Atlas is aimed primarily at mid-market and large global enterprises with complex, multi-echelon supply chains, across industries such as consumer products, food and beverage, life sciences, and industrial manufacturing.
What planning functions does Atlas cover?
Atlas covers end-to-end supply chain planning: demand planning and forecasting, supply and production planning, multi-echelon inventory optimization, S&OP/IBP, scenario modeling with a digital twin, and order fulfillment.
Evaluating Demand & Supply Planning?
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