Sales forecasting (Sales Forecast) is an important process that lets a business plan production, purchasing, and resource management efficiently, especially when working together with an ERP (Enterprise Resource Planning) system, which makes the sales forecast more accurate and links it end-to-end with the various functions inside the organisation.

What is a Sales Forecast?

A Sales Forecast is a prediction of future sales, based on past sales data, data from the sales team, market trends, and other external factors, to help with decision-making and short- and long-term business planning.

Examples of use include

Plan production to match demand
Plan the purchase of raw materials
Plan cash flow and budget
Set monthly or annual sales targets

Highlights of a Sales Forecast in an ERP system

1. Automatic data linkage

Automatically pulls data from the Sales Order system, quotations, and CRM
Reduces duplication in data entry

2. Real-time data updates

When sales actually happen, the system always keeps the forecast data current
Helps plans be adjusted in time with the situation

3. Supports multiple forecasting models

Historical-Based
Opportunity-Based (based on sales opportunities in the pipeline)
Market/Seasonal-Based

The Sales Forecast process in ERP

– Analyse historical sales from data in the system – Pull sales-opportunity data from the sales team or the CRM system – Process it through a formula or analysis system in the ERP – Pass the forecast data on to production planning, purchasing, and management

Benefits of using a Sales Forecast through ERP

– Accurate planning – Links every department – Reduces excess inventory – Fast decisions – Supports budgeting

A real example of use

– The sales team predicts next month’s sales at 2,000,000 baht – The ERP system calculates the quantity of goods that must be produced to support those sales – The warehouse checks remaining raw materials and informs purchasing of the requirement – The system checks actual sales when the time comes, and compares them with the forecast to adjust future plans

Cautions

– You must have correct, complete historical sales data stored systematically – You should adjust the forecasting formula or model according to the season or actual situation – You should have a system to compare actual sales with the forecast (Actual vs Forecast) to improve accuracy

Conclusion

A Sales Forecast in an ERP system is a tool that lets the organisation predict sales accurately and use that data to link to various functions such as production, purchasing, and budget management. When used together with an ERP system that has complete and current data, it helps make planning and decision-making far more effective.