Case Studies Supply Chain Visibility & Forecasting With AI

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	Supply Chain Visibility & Forecasting With AI

Supply Chain Visibility & Forecasting With AI

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
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. Read More
About 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. Read More
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. Read More Log in to view content
Contents

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

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.

About 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.

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.

Impact #1	Gained complete visibility with self-service analytics, cutting through siloed information across production, inventories, and forecasts.
Impact #2	Heightened collaboration among Sales & Distributors.
Impact #3	Control over Sales channels with integrated performance analysis.

Impact #1

Gained complete visibility with self-service analytics, cutting through siloed information across production, inventories, and forecasts.

Impact #2

Heightened collaboration among Sales & Distributors.

Impact #3

Control over Sales channels with integrated performance analysis.

Benefit #1	95% Reduction in manual data gathering
Benefit #2	40% Improvement in inventory at distribution center
Benefit #3	85% Increase in customer satisfaction

Benefit #1

95% Reduction in manual data gathering

Benefit #2

40% Improvement in inventory at distribution center

Benefit #3

85% Increase in customer satisfaction

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Overview

Supply Chain Visibility & Forecasting With AI

Operational Impact

Quantitative Benefit