What is the difference between low-code and no-code platforms?

Low-code platforms require some coding knowledge, while no-code platforms are designed for users with minimal or no coding skills.

How can a low-code no-code solution help CPG companies?

By enabling rapid development and deployment of custom applications, low-code no-code solutions can help CPG companies address specific business challenges and improve operational efficiency.

What are the key benefits of using predictive analytics for production forecasting?

Predictive analytics can help CPG companies accurately forecast future demand, optimize inventory levels, and improve supply chain planning.

How can data visualization improve decision-making in the CPG industry?

By providing clear and actionable insights, data visualization can help CPG companies identify trends, identify areas for improvement, and make data-driven decisions.

What are the challenges associated with implementing a production forecast and planning tool?

Common challenges include data quality issues, resistance to change, and the need for ongoing maintenance and updates.

How can Quantzig's low-code no-code solution help CPG companies overcome these challenges?

Quantzig's solution provides a user-friendly interface, pre-built templates, and expert support to help CPG companies overcome challenges and achieve successful implementation.

What are the long-term benefits of investing in a production forecast and planning tool?

Long-term benefits include improved operational efficiency, reduced costs, enhanced customer satisfaction, and increased competitiveness.

Quantzig’s Innovative Low-Code No-Code Solution to Forecast Production Planning

Forecast Production Planning: A Low-Code No-Code Solution for CPG Industry

Request a Demo Download Case Study

Client Overview

A leading CPG company, renowned for its innovative product portfolio, faced the challenge of accurately predicting production requirements to meet fluctuating market demands. The organization sought a robust solution that could streamline its production planning processes, optimize inventory levels, and enhance overall supply chain efficiency.

Key Takeaways of Forecast Production Planning

✓ Increased Forecast Accuracy: By utilizing AI-driven forecasts and integrating real-time sales and supplier data, the tool improved forecast accuracy by over 25% and reduced overproduction and improve order fulfillment rates.
✓ Reduced Inventory Costs: Inventory holding costs decreased by 30% due to the tool’s ability to optimize production planning and eliminating excess stock and storage costs.
✓ Improved Production Efficiency: The automated production scheduling system minimized downtime and reduced manual scheduling efforts.
✓ Scalability for Future Growth: As the company continued to add new product lines and distribution channels, the low-code platform allowed them to scale the tool seamlessly. They were able to quickly modify and add features without extensive development time or costs.
✓ Cost Savings on Software Development: The company saved 30% on software development costs compared to hiring developers. The low-code/no-code platform allowed business users to modify and maintain the tool without the need for regular maintenance.

Challenges Faced by CPG Client

Inconsistent Demand Forecasting:

Difficulty in accurately predicting future demand patterns, leading to stockouts or excess inventory.

Inefficient Production Planning:

Manual planning processes prone to errors and time-consuming, hindering agility in response to forecast production planning.

Lack of Data-Driven Insights:

Limited visibility into key performance indicators, making it challenging to identify areas for improvement.

Complex Supply Chain Management:

Managing a vast network of suppliers and distributors required a centralized and efficient system.

Regulatory Compliance:

Ensuring adherence to industry regulations and standards while maintaining operational efficiency.

The Solution – Automated Forecasting & Production Planning

Enhanced Demand Forecasting:
Accurate prediction of future demand trends, enabling proactive production planning.
Optimized Production Planning:
Streamlined processes, reduced lead times, and improved resource allocation.
Data-Driven Decision Making:
Real-time insights into key metrics, supporting informed decision-making.
Improved Supply Chain Visibility:
Enhanced visibility into supplier performance and inventory levels.
Increased Operational Efficiency:
Automate Production Planning, Reduced costs, improved productivity, and enhanced customer satisfaction.

Tech Stack for Production Planning Automation

Below are some of the advanced low code no code platforms used to develop an automated production planning platform.

Data Ingestion & Cleaning:

ETL Tools: Informatica PowerCenter Data Lakes: Azure SQL, SharePoint List

Predictive Modeling & Forecasting:

Machine Learning Platforms: Azure Machine Learning Statistical Software: Python

Visualization & Dashboarding:

Business Intelligence Tools: Tableau, Power BI, or Looker

Low-Code No-Code Platform:

Quantzig's proprietary platform Additional Low Code No Code Platforms: Microsoft PowerApps, Power Automate, SharePoint, Mendix, OutSystems

Quantzig’s Innovative Low-Code No-Code Solution to Forecast Production Planning

Forecast Production Planning: A Low-Code No-Code Solution for CPG Industry

Client Overview