Inventory Control Tower (ICT) helps companies maintain control over inventory decisions with state-of-the-art tools and technologies. It helps monitor inventory status in real-time by using optimized, intelligent decision-making algorithms with minimal human intervention.
ICT can be customized according to needs and business functions, and inclusion/exclusion can be a subset to maximize value. This AI/ML-driven, highly transparent operating model can significantly reduce and rationalize inventory, and directly impact cost-to-serve.
Horizontals & Verticals Visibility
Forecast at multiple granularities based on the available data and user requirements. Provides an agile approach to pivot and adapt to changing priorities across customers/domains/categories, etc.
AI/ML Models & Business Rules
Reliable AI/ML models behind efficient optimization and predictive capabilities. Business rules are defined based on extensive analysis, business requirements, and best practices.
Scenario Planning & Recommendations
Decision evaluation tools to consider possible scenarios and impact. Recommendations are generated to arrive at the planned/optimized value.
KPI Generation & Tracking
The solution generates, tracks, and reports all the required KPIs, exception reporting, and inventory health status with drill-down capabilities.
Real-time inventory visibility
Get real-time visibility with alerts into existing inventory levels & associated cash impacts to understand the supply chain’s performance and health.
Configurable business rules
Set up inventory policies at each supply chain node at service levels, safety stocks, reorder levels, and more.
Dynamic inventory policy recommendations
Based on the configured business rules, get the optimal safety stock, cycle stock, reorder levels, and more.
According to the service level, existing inventory, and delivery time, get dynamic recommendations for the products on each supply chain node.
Inventory optimization engine
Maintain optimal inventory at different nodes in the supply chain based on demand patterns, demand-supply variability, and the desired service levels.
Inventory simulation planning
Perform scenario planning and identify budget & safety stock requirements as per inventory class, service level, demand & lead time variability. Users can identify tradeoffs between budget & the desired service level.
Alerts, dashboards, and reports
Get a deep dive into crucial KPIs related to cash and volume impact across different nodes, item hierarchies, locations, and inventory class.
- Prescriptive and scenario planning capabilities
- AI/ML models
- High degree of customizability
- Technology-agnostic platform
- Real-time visualization
Some sample KPIs and alerts are:
- Products below safety stock, ROP and out of stock, excess stock, etc.
- Days of excess, shortage, stockout inventory at the product, category, class, and DC levels.
- Trend charts: Supply variability; demand variability; actual vs. target days of coverage.
- Amount ($) of optimal/excess/shortage inventory, inventory turns, EBITDA impact, etc.