Food Manufacturing MES & AI Case Study
Integrating AI sales forecasting, Excellent MES (EXC-MES), IIoT connectivity, and AOI inspection to improve production visibility, refrigerator temperature monitoring, and quality management.
CUSTOMER
Customer Background 
The customer is a Taiwan-based food manufacturer producing products such as mochi, jelly, and ice cream. Its products are sold through supermarkets, convenience stores, and e-commerce channels, while the company continues to expand into overseas markets.
CHALLENGES
Three Key Challenges in Food Manufacturing 
Facing demand fluctuations, fragmented production information, and food quality management challenges, the customer sought to improve material planning, production visibility, and shop floor monitoring through digitalization.
01
Demand Forecasting & Material Planning
Fluctuating and seasonal demand requires more accurate sales forecasts and better material and production planning.
02
Production Visibility
Real-time visibility into production progress, WIP, yield, and workforce status is needed to accelerate issue identification and response.
03
Food Quality & Temperature Monitoring
Continuous refrigerator temperature monitoring and AOI-based expiration date inspection help reduce manual inspection oversights.
SOLUTIONS
Integrated AI, MES, IIoT & AOI Solution 
Integrating demand forecasting, production management, refrigerator temperature monitoring, and quality inspection to improve shop floor visibility and operational efficiency.
AI Sales Forecasting
Analyzes historical sales and demand trends to support production, material, and inventory planning while reducing overproduction and excess inventory.
Excellent MES (EXC-MES)
Integrates production and IIoT equipment data to provide real-time visibility into production progress, WIP, yield, and equipment status, improving shop floor visibility and issue response.
IIoT Connectivity & Temperature Monitoring
Refrigerator temperature data is transmitted to the EXC-MES dashboard every 30 seconds, with upper and lower limits and alerts configured to help operators quickly identify temperature changes.
AOI Expiration Date Inspection
Uses automated image inspection to verify product expiration date markings, reducing manual inspection oversights and improving inspection consistency.
Related Solutions
BENEFITS
Key Benefits 
Integrating AI, MES, IIoT, and AOI applications to improve demand planning, shop floor visualization, refrigerator temperature monitoring, and quality inspection.
Material & Inventory Planning
AI-assisted demand forecasting supports production planning while reducing excess inventory and overstock.
Shop Floor Visualization
Real-time visibility into production progress, WIP, yield, and equipment status helps accelerate issue identification and response.
Temperature Monitoring
Refrigerator temperature data updates the EXC-MES dashboard every 30 seconds for real-time monitoring.
Expiration Date Inspection Accuracy
AOI automatically checks expiration date markings, improving inspection consistency.
Food Manufacturing Digitalization FAQ 
Q1: How Is Refrigerator Temperature Monitored in Real Time?
IIoT collects refrigerator temperature data and sends it to the EXC-MES dashboard every 30 seconds. Upper and lower limits and alerts can also be configured for real-time monitoring.
Q2: How Does AI Sales Forecasting Support Production Planning?
Historical sales and demand trends are analyzed to support material, production, and inventory planning while reducing excess inventory and overstock.
Q3: How Does AOI Inspect Product Expiration Date Markings?
AOI uses image inspection to verify product expiration date markings, reducing manual inspection oversights and improving inspection consistency.
Want to Explore How MES, AI, and IIoT Can Support Food Manufacturing?
From demand forecasting and production management to equipment monitoring and quality inspection, talk with NTT DATA Taiwan about the right digital applications for your operations.