Achieve Inventory Precision
Stop Stockouts & Slash Costs: Optimize Inventory with Proven Strategies
Forepredict by Strategy Resolve uses AI and advanced analytics to help businesses optimize inventory levels, reducing costs by up to 30% and increasing revenue by up to 20% in a dynamic market
Inventory Solutions
AI-Powered Dynamic Inventory Forecasting
Optimized Stock Levels
Generative AI Visualization
Value-Driven Features & Benefits
Reduced Carrying Costs: Achieve up to a 20% reduction in carrying costs through optimized inventory levels.
Increased Sales: Prevent stockouts and capture up to 10% more sales opportunities with accurate demand forecasting.
Waste Reduction: Minimize inventory waste and losses by up to 30%, supporting sustainability and cost-efficiency.
Operational Agility: Improve supply chain responsiveness and agility, enabling up to 25% faster response to market changes.
Best In Class Subject Matter Experts
Innovative Technology Integration
Embracing a Strategic Partnership that Guarantees Success
Optimize operations, reduce costs
Increase revenue, improve customer satisfaction
Enhance supply chain sustainability and efficiency
Inventory Management Transformation Process
Our AI-powered predictive analytics process transforms inventory management into a strategic asset, enabling businesses to anticipate market changes, optimize inventory levels, and drive profitability.
Inputs
Historical Sales Data: Comprehensive records of past sales performance, including seasonal trends, peaks, and troughs
Current Inventory Levels: Real-time data on existing stock across all SKUs
Supply Chain Variables: Information on lead times, supplier reliability, transportation times, and costs
Market Trends: Data on market demands, including emerging trends and consumer behavior analytics
External Factors: Consideration of external elements such as economic indicators, holidays, and weather conditions that can impact demand
Process
Data Integration: Aggregating and cleansing data from various sources to create a unified database for analysis.
Model Building: Using machine learning algorithms to develop predictive models tailored to understand and forecast inventory needs. This involves training models on historical data to recognize patterns and predict future outcomes.
Algorithm Optimization: Continuously refining algorithms based on new data, outcomes, and feedback to improve accuracy and reliability.
Demand Forecasting: Applying the predictive model to current data to forecast future inventory needs with precision, taking into account various influencing factors.
Inventory Optimization: Using the demand forecasts to recommend optimal inventory levels, reorder points, and safety stock levels.
Scenario Planning: Simulating various scenarios to test the resilience and responsiveness of the inventory strategy under different conditions
Forecast Reports: Detailed predictions on future demand for each SKU, helping to inform purchasing and production planning.
Optimization Recommendations: Actionable insights on inventory levels, highlighting opportunities to reduce overstock and avoid stockouts.
Risk Assessments: Analysis of potential risks in the supply chain, with strategies to mitigate these risks.
Efficiency Metrics: Key performance indicators (KPIs) to track the effectiveness of inventory management strategies, including inventory turnover rates, order accuracy, and service level achievements.
Actionable Insights: Strategic recommendations for improving inventory efficiency, reducing costs, and enhancing customer satisfaction.
Outputs
Elevate Your Business
Discover the full potential of your supply chain with Strategy Resolve
Contact Us
Contact us for questions or help
info@strategyresolve.com
Location
Meydan, Dubai. UAE
Hours
Mon-Fri 9am-5pm