Supply Chain Optimization
Data-Driven Inventory and Logistics Intelligence
Excess inventory ties up capital. Stockouts lose revenue. GRAVITI builds predictive supply chain models that help enterprises find the right balance through demand forecasting, lead-time analysis, and inventory optimization.
Microsoft Azure
Amazon Web Services
Google Cloud
IBM Cloud
Oracle Cloud- Full flexibility in deployment options. We are not commercial partners of software vendors
Who Is It For
Supply chain optimization engagements are designed for organizations where inventory decisions directly impact profitability and customer satisfaction.
- Supply chain directors managing complex multi-tier supplier networks
- Procurement teams seeking to reduce carrying costs without increasing stockout risk
- Operations executives responsible for warehouse efficiency and order fulfillment rates
- CFOs looking to free working capital locked in excess inventory
Our Approach to Supply Chain Optimization
GRAVITI applies predictive analytics to the core decisions in your supply chain: how much to order, when to order, and where to position inventory. We build models that integrate demand forecasts, supplier lead-time variability, and logistics constraints to generate optimal replenishment plans.
Our team connects data from your ERP, warehouse management system, and supplier portals to create a unified view of inventory positions, in-transit goods, and demand signals. This consolidated data layer powers optimization algorithms that recommend reorder points, safety stock levels, and allocation strategies across your distribution network.
We also build scenario-planning tools that let your supply chain team model disruptions—supplier delays, demand spikes, logistics bottlenecks—and evaluate response strategies before committing resources.
Connecting to systems already in your organization
Our solutions include integration with popular market systems, as well as any additional system as needed
How We Deliver
- Supply Chain Mapping: Document data flows across ERP, WMS, TMS, and supplier systems
- Demand Modeling: Build demand forecast models incorporating historical sales, seasonality, and external signals
- Optimization Engine: Develop inventory optimization algorithms for reorder points, safety stock, and allocation
- Scenario Planning: Create simulation tools for disruption modeling and response evaluation
- Dashboard & Alerts: Deploy monitoring dashboards with automated alerts for stockout risk and overstock conditions
Expected Outcomes
- 10-25% reduction in inventory carrying costs through optimized stock levels
- Fewer stockouts with demand-aligned replenishment schedules
- Improved supplier performance visibility and lead-time predictability
- Scenario-ready supply chain planning that reduces response time to disruptions
Service Model
- Assessment: 3-week supply chain data audit and optimization opportunity analysis
- Build: 8-12 week model development, system integration, and dashboard deployment
- Managed: Ongoing model retraining, seasonal recalibration, and performance reporting
Frequently Asked Questions
What systems do you integrate with?
We work with major ERP platforms (SAP, Oracle, NetSuite, Microsoft Dynamics), warehouse management systems, transportation management systems, and supplier portals. Custom integrations are available for proprietary systems via API or file-based data exchange.
How do you handle demand volatility?
Our models use ensemble forecasting methods that combine multiple algorithms to handle different demand patterns—steady-state, seasonal, intermittent, and event-driven. Safety stock calculations are dynamically adjusted based on forecast uncertainty.
Can this work for businesses with thousands of SKUs?
Yes. Our optimization engines are designed for scale and routinely handle catalogs with 10,000+ SKUs across multiple warehouses. We use segmentation strategies (ABC/XYZ analysis) to apply appropriate model complexity to each SKU tier.
What is the typical ROI timeline?
Most clients see measurable inventory cost reductions within the first quarter after deployment, with full ROI typically realized within 6-9 months through reduced carrying costs and improved fill rates.
Optimize Your Supply Chain with Data
Stop managing inventory by instinct. Let GRAVITI build a supply chain optimization system that balances cost, availability, and agility with predictive precision.
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