GAINS
5.9#8 in inventory optimization softwareWebAPI
Visit| Fact | GAINS | supplychainpy |
|---|---|---|
| Deployment | Platform components can be deployed as extensions to a legacy environment or assembled into industry-specific solutions. | The maker documents running the reporting suite locally with configurable host and port settings. |
| Founded | A company history article says the company that later became GAINS was founded in 1971. | 2016 |
| Integrations | GAINS Connect supports real-time data exchange with SAP, Oracle NetSuite, Salesforce, and other systems using a REST API and webhooks. | The maker describes use with Pandas, Jupyter, Matplotlib, openpyxl and xlwings. |
| Intended users | GAINS says its platform serves manufacturers, distributors, and retailers seeking supply chain optimization. | The maker describes it as a decision support tool for analysts in commercial inventory and demand planning roles. |
| Purpose | GAINS provides supply chain decision planning that connects strategy and execution across design, planning, and operations. | Supplychainpy is a Python library for supply chain analysis, modeling, and simulation. |
It suits manufacturers, distributors, and retailers seeking supply chain planning and optimization across design, planning, and operations. Deployment can be cloud-based, on-premise, or an extension to a legacy environment.
supplychainpy suits analysts working in commercial inventory and demand planning who want a Python-based decision-support tool. It is also relevant to users working with Pandas DataFrames, CSV or text files, or database-supplied data.