
Streamline typical implementation process:
Requirements and data discovery: Define business goals, scope (SKUs, locations, BOM levels), service-level targets, and identify data sources such as ERP, WMS, spreadsheets, and databases.
Connectivity and data integration: Connect Streamline to systems like NetSuite, SAP/SAP B1, Dynamics 365 BC, QuickBooks, Odoo, Cin7, and others via direct connectors, API, ODBC, or flat-file imports, then validate and cleanse historical demand and inventory data.
Model setup and configuration: Configure AI-powered forecasting hierarchies (SKU/location/channel), inventory policies (safety stock, service levels), MRP parameters, and S&OP structures to reflect existing planning processes.
Dashboard, workflow, and user setup: Build monitoring dashboards for stockouts, overstocks, POs, and KPIs; set roles for sales, operations, and finance; and define exception-based workflows and review cycles.
Training, pilot run, and validation: Train planners on forecasts, inventory recommendations, and MRP outputs; run Streamline in parallel with existing tools to compare results and calibrate models and policies.
Streamline is designed to be highly configurable so it can match different industries, network structures, and planning processes.
Streamline lets teams tailor forecasting hierarchies (by SKU, location, channel, customer, or category), planning calendars, and aggregation levels, and planners can override AI forecasts with manual adjustments and attach comments, capturing business judgment alongside algorithmic predictions. Inventory policies are configurable per item or group, including service levels, safety stocks, reorder points, order cycles, lead times, MOQ, and rounding rules, so replenishment logic reflects each business’s constraints and risk appetite.
On the process side, Streamline supports configuring S&OP and IBP workflows, roles, and review cadences, allowing sales, operations, and finance to collaborate in ways that mirror existing governance rather than enforcing a single template. Dashboards, KPIs, and reports are also customizable, with flexible exports (including custom parameter files) so companies can adapt analytics and outputs to their own performance metrics and reporting standards.
Streamline offers structured onboarding plus extensive self-service education and responsive support channels for new users. New customers are guided through a four-step onboarding program that covers connecting data sources, setting up forecasting and inventory policies, validating outputs, and going live, with support articles and checklists in the Streamline Support portal. Typical implementations include at least two live training sessions: a generic product training to understand the software and a company-specific session addressing each client’s data, workflows, and planning challenges.
For ongoing enablement, Streamline provides a comprehensive user guide explaining workflows and step‑by‑step instructions for importing data, generating forecasts, creating reports, and exporting purchase plans. The vendor also runs the GMDH Streamline Academy with free online courses, plus a large library of video tutorials on topics such as connecting ERPs, demand forecasting, forecast overrides, inventory optimization, and revenue forecasting, all accessible on its website and YouTube channel.
Support is delivered through an online help center with troubleshooting articles, guidance on reaching support, and contact forms for sales and technical assistance. In some regions Streamline also works through certified implementation partners (such as supply-chain consultancies) that provide localized consulting, training, and ongoing optimization services around the platform.
Streamline protects data using encrypted communications, credential hardening, and environment isolation, backed by a GDPR‑aligned privacy framework, but does not publicly claim certifications like SOC 2 or ISO 27001.
Streamline follows an active release cadence with frequent product and documentation updates rather than infrequent, large upgrades. Public version history and reviews describe regular new builds that add features, improve forecasting and UX, and extend integrations, though an exact schedule (e.g., monthly/quarterly) is not formally published.
Updates are managed centrally by GMDH for the cloud and Streamline Server deployments: new versions are packaged and distributed by the vendor, with customers able to upgrade to the latest release while keeping their project data. For on‑premise or server installations, administrators control when to apply new builds, while desktop clients connect to the updated server environment; release notes and documentation changes are published in the online docs and resource center so planning teams can see what has changed before adopting new capabilities.
Streamline states that customer and end‑user personal data is processed to deliver and improve the service, but its public documents do not spell out an explicit “you own all your operational data” clause or a detailed portability guarantee, so some points must be contractually clarified.

Streamline
By GMDH, Inc