Remove Case Study Remove Forecasting Remove Procurement Analytics Remove Sourcing
article thumbnail

AI in the Food Industry: Case Studies, Challenges & Future Trends

ThroughPut

Food Production AI tools can drive advanced predictive analytics with precision forecasting for weather and crop yield predictions. Data collected from drones, sensors, and satellites can be analyzed by farmers to save time, and costs related to field trials, food inspections, and more. All for the good.

article thumbnail

Demand Planning: Whipped And Chained by Tradition

Supply Chain Shaman

Given your expertise, I’d love to hear what alternatives you recommend for better demand forecasting and real-time visibility beyond what’s commonly adopted today.” I know that your primary focus is procurement. Or planned orders to purchase orders?) I encourage all to backcast to test and improve their models.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Companies Using ERP: Case Studies

QAD

This type of software is used by businesses to plan and oversee routine operations, such as supply chain management, manufacturing, services, project management, customer relationship management, risk management, compliance, accounting and procurement. Case Study #1: Noble Biomaterials. Enhanced data collection and reporting.

article thumbnail

Thriving In ‘The New Normal’ With 5 Demand Forecasting Models

ThroughPut

Step Up Demand Planning Efforts with a Robust Forecasting Model . After all, most of these business functions were created for a very different era where any change was predicted earlier and absorbed easily. Demand forecasting can be a game changer in today’s volatile environment. A definite “no-no” for demand planners.

article thumbnail

Supply Chain Case Study: the Executive's Guide

Supply Chain Opz

Analysis of case study is certainly one of the most popular methods for people from business management background. In order to accelerate the learning, this article has gathered 20+ most sought-after supply chain case studies, analyzed/categorized them by industry and the findings are presented.

article thumbnail

Prescriptive Analytics for Supply Chain Optimization: 6 Powerful Use Cases 

ThroughPut

If there’s any piece of technology or analytics that can help with the most advanced data-driven decision-making in the supply chain right now, that’s prescriptive analytics. It is the most promising form of analytics in the market currently. What Is Prescriptive Analytics in Supply Chain? How should the supplier perform?

article thumbnail

7 Steps to Better Demand Forecast Accuracy

Vanguard Software

However, there are quite a few ways to improve demand forecast accuracy. Here are seven ways to improve demand forecast accuracy for increased operational efficiency and profit. The Business Case for Demand Forecasting. The first step in the forecast process is to determine assumptions, or starting values.