Supply Chain Visibility & Forecasting With AI
Company Size
1,000+
Product
- ConverSight Conversational Analytics
Tech Stack
- Conversational Analytics
- Automated Alerts
- Self-service Analytics
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Customer Satisfaction
- Digital Expertise
- Productivity Improvements
Technology Category
- Analytics & Modeling - Predictive Analytics
- Functional Applications - Enterprise Resource Planning Systems (ERP)
- Functional Applications - Inventory Management Systems
Applicable Industries
- Automotive
Applicable Functions
- Sales & Marketing
- Warehouse & Inventory Management
Use Cases
- Inventory Management
- Predictive Replenishment
- Supply Chain Visibility
Services
- Software Design & Engineering Services
- System Integration
About The Customer
CEAT is a globally recognized manufacturer and distributor of tires, catering to a wide range of vehicles. With a robust sales team of over 200 members, the company relies heavily on accurate sales forecasts to drive its top-line growth. The company operates a complex supply chain that spans production facilities, warehouses, and various business units, making it essential to have a streamlined and efficient inventory management system. CEAT's commitment to innovation and customer satisfaction has positioned it as a leader in the tire manufacturing industry.
The Challenge
CEAT, a world-leading manufacturer and distributor of tires, was experiencing difficulty obtaining insights into their supply chain. A Sales team of 200+ depended upon the forecast to sell products and drive the top line. The supply chain team was constantly connecting the dots between disparate systems including Production, Warehouses, and Business for the allocation of inventory and avoiding excess inventory.
The Solution
ConverSight provided a comprehensive solution to CEAT's supply chain challenges. The deployment of ConverSight's Conversational Analytics solution enabled the company to gain proactive insights and visibility into sales forecasts versus allocations, significantly improving inventory management and analysis. The solution also included automation and alerts, allowing the team to analyze key performance indicators (KPIs) and receive automated alerts on shortages and cross-sell opportunities for SKUs. Additionally, the solution facilitated collaboration and sharing among sales and other teams, enabling quick review and dissemination of information and insights to distributors.
Operational Impact
Quantitative Benefit
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