Custom Software That Forecasts Demand and Cuts Waste
ScaleForge builds purpose-built supply chain management platforms with AI-powered sales forecasting, real-time inventory intelligence, and supplier analytics — replacing spreadsheets with systems that actually scale.
23%
Avg. Inventory Cost Reduction
94%
Forecast Accuracy at 30 Days
2×
Faster Procurement Decisions
0
Manual Data Transfers Required
“Companies with advanced supply chain capabilities achieve 15% lower supply chain costs, 50% less inventory holdings, and 3× faster cash-to-cash cycles.”
Most mid-market businesses still forecast demand in Excel and track inventory in disconnected spreadsheets. The gap between where they are and where a custom platform could take them is measured in seven figures of recoverable annual margin.
Platform Capabilities
Every module is purpose-built for your operations — not a generic SaaS platform forced to fit your workflow.
AI-Powered Sales Forecasting
Machine learning models trained on your historical sales data, seasonality patterns, and external signals to produce accurate demand forecasts at SKU, category, and regional levels.
Inventory Optimisation
Automated reorder point calculations, safety stock modelling, and dead-stock alerts that prevent both stockouts and costly overstock situations across your warehouse network.
Supplier & Procurement Analytics
Real-time dashboards tracking supplier lead times, fill rates, and cost variance — so you can renegotiate from a position of data and identify single-source risks before they become crises.
ERP & Systems Integration
Seamless two-way integrations with SAP, Oracle, Microsoft Dynamics, Odoo, and custom ERP systems — your forecast data flows automatically without manual re-entry.
Executive Reporting Dashboards
Role-specific dashboards for operations managers, finance teams, and C-suite — showing the KPIs each stakeholder needs without the noise they don't.
Every Build Includes
- Custom demand forecasting models built on your data
- Automated reorder and safety stock calculations
- Real-time supplier performance scorecards
- Full ERP and data warehouse integration
- Role-based access and executive dashboards
- Ongoing model retraining and accuracy monitoring
We don't sell you a generic SaaS licence with 80% of features you'll never use. We build exactly what your supply chain needs — nothing more, nothing less.
Our Build Process
Operations Audit
We map your current supply chain workflows, data sources, pain points, and the specific forecasting and reporting gaps costing you money today.
Data Architecture
We design the data model connecting your sales history, inventory levels, supplier records, and external market signals into a unified forecasting layer.
Model Development
We build and train demand forecasting models — statistical, ML, or hybrid — tuned to your category dynamics and validated against held-out historical data.
Software Build
We develop the custom application layer: dashboards, alert systems, automated reports, and ERP sync pipelines, all built in your preferred technology stack.
Deployment & Training
We deploy to production, train your team on the system, and monitor forecast accuracy and system stability for the first 90 days post-launch.
Supply Chain Software FAQs
At minimum, 12–24 months of historical sales data at SKU or product category level. Better models come with additional signals: promotional calendars, seasonality flags, supplier lead times, and external data like economic indicators or web traffic. We conduct a data audit at the start of every engagement to assess what you have and what we can supplement.
Yes. We have integration experience with SAP, Oracle NetSuite, Microsoft Dynamics 365, Odoo, and custom-built ERP systems. For systems without a native API, we build ETL pipelines to extract, transform, and sync data on a scheduled basis. Integration complexity and timeline depends on your system's API maturity.
Accuracy varies by industry and data quality, but our models typically achieve 85–96% accuracy at the 30-day horizon for established product lines with 18+ months of clean historical data. New products, highly seasonal categories, and markets with significant external volatility will have wider confidence intervals, which we model explicitly.
No. We build systems designed to be maintained by operations or finance teams without data science backgrounds. Models are retrained automatically on a scheduled basis. You receive clear accuracy reports and drift alerts so you always know when a model needs attention — and we handle the retraining under a maintenance contract.
A standard forecasting platform with 2–3 integrations and a dashboard layer typically takes 8–14 weeks from kickoff to production. More complex deployments with multiple warehouses, international data sources, or legacy ERP systems can run 16–24 weeks. We always start with a scoped MVP delivered in the first 4 weeks so your team can validate the approach early.
Ready to Replace Spreadsheets with a Platform That Scales?
Book a free 30-minute operations review. We'll map your current supply chain data flows, identify your biggest forecasting gaps, and outline what a custom system would look like for your business.