Neal Analytics provides a predictive maintenance solution framework for reducing maintenance costs and equipment downtime across field equipment. The integration of historical failures with sensor data and other external environmental factors allows our Predictive Maintenance solution to identify failures in advance, enabling proactive management of field assets to ensure optimized operational efficiencies.
Advanced Demand Forecasting
The sooner you can accurately identify future demand for your product, the more effectively you can adapt to changes in the market. This Forecasting Solution leverages state of the art modeling techniques to give your business a clear picture of where demand is heading at the individual plant or product level. While an accurate number for local operations is useful, this solution also leverages HR & Operations data to describe the staffing needs associated with fluctuating demand.
In manufacturing, Neal Analytics is often called upon to utilize Machine Learning techniques to predict failures in the field. From oil compressors to blow molding machines, Neal Analytics has predicted device failure. Invariably, these projects start with simple anomaly detection.
Failure Prediction & Quality Control
Once we’ve detected anomalies in data, we can often predict failures. In some projects, we predict a rough range of time when failures will occur. In others, our customers or our research reveals how we can use data to predict particular types of failure. In certain cases, particularly where devices are deployed remotely in the field, this is particularly valuable.
Machine failure cuts into profits. Neal Analytics uses sensor data to make predictive models to improve maintenance plans, efficiency monitoring, and instrumented operations. This can prevent production failure and increase profits.
Sales Opportunity Prioritization
With multiple sales opportunities, it is difficult to identify which will yield the most benefit for your business. Neal Analytics’ Machine Learning algorithms are able to analyze variables involved in sales opportunities and show you the positives and negatives. You can use this information to prioritize opportunities and make informed decisions for your business.
Optimized Bids for Opportunities
Using predictive analytics and the latest data techniques, Neal Analytics can provide bidding recommendations that can reduce discounts and increase win rate by up to 10%.
Capital Project Risk Assessment
Large scale capital projects may be necessary for growth in the manufacturing industry, but they are risky. Neal Analytics can assess capital project risk and help your company to minimize risk and maximize the benefits.
Customer Churn / Loyalty
Effectively managing an established customer-base is the key to building profits in many manufacturing companies. Keeping a database of loyal customers and re-marketing to these customers allows companies to effectively engage their target markets. Implementing customer churn identification and management strategies can increase customer life-cycle by 20% and can add value to your business.