Enable a dynamic optimal stocking plan with detailed inventory views across product categories and locations. Drive proactive stocking of product shelves to avoid out-of-stock items. Run an intelligent product manufacturing cycle based on demand forecast.
Inventory Optimization
Inventory Visibility
How Course5’s Inventory Management Solution Helps
Drive last-mile adoption & business impact through ease of consumption and role-based insights
Data
- Demand history – Actual and forecasted demand history for each SKU and warehouse location
- Inventory data – Current inventory on hand and inventory norms (e.g. safety stock, recorder point, and quantity) for each SKU and warehouse location
- SKU master – SKU-level details like description, material group, creation date, unit of measure, end-of-life data, status, and more
Analytics
Advanced statistical and simulation techniques such as below are used:
- Croston method – Identify historical demand pattern
- Anderson-Darling test
- Chi-Square test
- Outlier correction and treatment
- Inventory simulation
- Sensitivity analysis
- Segmentation using clustering techniques
Insights
- Identification of true drivers of the inventory levels of each cluster
- Identification of inefficient inventory stocking process
- Impact of inaccurate demand forecast
Actions
- Optimal inventory planning strategies by cluster
- Proactive stocking of product shelves to avoid out-of-stock items
- Intelligent product manufacturing cycle based on demand forecast
Outcome
Reduce inventory carrying cost by 5%–10% while improving service levels.
Connected Intelligence with AI-powered Augmented Analytics Platform
Course5 Discovery
Powered by Generative AI
Deliver relevant, actionable, and human-friendly insights across multiple consumption mediums and personas to create an insights-first culture that rewards data-driven decision-making
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Automated insights generation from connected enterprise and external data
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Descriptive, Diagnostic, Predictive, and Prescriptive Analytics driving actionable insights
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Persona-based approach to provide contextual insights on near real-time basis
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High adoption with curated natural language insights available on chat, voice, enterprise BI platforms, executive presentations, emails, Teams, Slack, etc.
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Tracking of impact of decision-making on key performance indicators (KPIs)
Important Metrics
Speed-to-actionable insights reduced from days to seconds
45% increase in analytics adoption by use of generative and conversational AI
30% time savings with a single source of truth and Natural Language querying
~20% revenue impact with timely, data-driven decision-making
