Big Data Analytics for Manufacturing Industry|QuantZig

Industrial and Manufacturing

Employ a Data-based Approach to Effectively Improve Organizational Efficiency

How we help our manufacturing industry clients through analytics solutions

The manufacturing industry is constantly driven by technological innovations, scientific planning, and resource utilization strategies. Due to recent technological advancements, there has been a significant surge in data (in terms of speed as well as volume) across the value chain and areas of business.

By helping manufacturing industry clients employ effective analytics solutions, we assist them in the implementation of latest methodologies, analytics, and modeling to increase organizational efficiency.

What do we offer?

To reduce manufacturing costs, time, and ensure high-quality production while maintaining a high return on capital, manufacturing companies constantly look to adopt scientific models and innovative practices.

We at Quantzig, help companies in the manufacturing industry implement analytics solutions that help in the optimization of manufacturing operations and boost productivity, process efficiency, and product quality. Our analytics solutions for the manufacturing industry also aid clients in predicting plant and equipment maintenance issues to avoid disruptions through predictive maintenance and preventive maintenance, and minimize resource requirement and shorten production cycles.

Solutions we provide

Engineering Analysis
Operations Planning
Order Management
Predictive Maintenance
Predictive Quality
Production Forecasting
Raw Material Benchmark
Total Enterprise
Order Fulfillment

With the intensifying market competition, there is constant pressure on accurate manufacturing and planning to deliver a high return on investment and limited scope for error in every aspect of manufacturing operations. Our analytics solutions for the manufacturing industry help organizations identify opportunities for revenue and quality improvement and better manage operational processes.

At Quantzig, we offer manufacturing analytics-related services to clients in the industrial and manufacturing industry to help them identify, quantify, prioritize, and improve manufacturing capabilities.

Solutions we provide

Budgeting, Financial
Planning, & Analysis
Capex & Expansion
Demand Planning
& Forecasting
Inventory Planning
& Optimization
Logistics Engineering
Market Basket Analysis
& Propensity to Buy
Sales & Operations
Spend Analysis
Supplier Evaluation

Due to the global shift of the manufacturing companies from production specific strategies to customer specific strategies, businesses are continuously looking to optimize their service delivery as a differentiating factor to attract and retain customers and improve customer lifetime value.

By allowing companies to achieve these goals, Quantzig provides services management analytics that help them in reducing service management costs and increasing satisfaction through user-friendly services, maximizing early detection of issues, reducing the response time in the service incident management process, and also optimizing the service activity flow and service costs.

Solutions we provide

Contract & Warranty
Employee Rewards &
Benefits Administration
Field Service
Helpdesk Service
Learning & Development
Parts Management
Payroll Functions
Service Planning
& Forecasting
Remote Support

Introduction to our industrial and manufacturing industry analytics case studies

manufacturing industry

Data Analytics Improves Supply Chain Visibility for Industrial Manufacturing Company

Business Challenge: A leading manufacturing industry client in the US wanted to deploy a data analytics based solution for improving supply chain visibility.

Situation: The client had an ERP tool, but did not have end-to-end visibility of its supply chain. They wanted us to design a data-based solution, which could provide complete value chain visibility, starting from raw materials, to finished goods.

Impact: Client gained an excellent system for tracking the inventory from raw materials to finished goods and order fulfillment. This also helped the clients in achieving visibility on materials BOM and order BOM with the integration of smart item codes with backtracking capability. This helped bring about reductions in the inventory carrying costs, recovered sales, supplier costs, operational costs, overall spend, etc.

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Inventory Optimization Reduces Understock Risks for Industrial Manufacturing Company

Business Challenge: A leading manufacturing industry client wanted Quantzig to conduct an analysis of their inventory and help them improve replenishment schedules.

Situation: The client was facing challenges pertaining to replenishment schedules and increased stock outs despite carrying a huge inventory, due to low visibility on the inventory status.

Impact: Our solution facilitated reduced inventory levels and released cash flow availability for investment, higher fill rates for optimal service and reduced risk of understocks and overstocks. The client also achieved a reduction in replenishment cycles and 100% visibility of SKU inventory, with a reduction in lost sales on account of stock outs.

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Price optimization

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