Inventory Management

Inventory Optimization

Inventory Visibility

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.

How C5i’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

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

Automated insights generation from connected enterprise and external data

Descriptive, Diagnostic, Predictive, and Prescriptive Analytics driving actionable insights

Persona-based approach to provide contextual insights on near real-time basis

High adoption with curated natural language insights available on chat, voice, enterprise BI platforms, executive presentations, emails, Teams, Slack, etc.

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

Recognition for C5i Discovery

Next Steps

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