Case Study: Leading Food Manufacturing Company achieves $1.1M annual raw material savings by reducing variability with InfinityQS International

Using Quality Data to Weigh Process Improvement Options

A global food product manufacturer engaged InfinityQS to determine whether a statistical process control (SPC) or quality intelligence system could reduce scrap, waste and raw‑material costs across a 24/7 operation running three shifts and more than 200 products. The company asked InfinityQS to focus an onsite assessment on package weights, using the manufacturer’s existing SPC data to see if tighter control could improve profitability without risking underfills.

InfinityQS used its quality‑intelligence approach (leveraging SPC capabilities like Enact® and ProFicient™) to analyze a year of weight data, identify product and monthly variance patterns, and run what‑if scenarios. The analysis showed a 5% mean weight cut could save about $160,000 annually but risk underfills; reducing standard deviation by 25% could save roughly $1,100,000 per year, and variability reductions of up to two‑thirds appeared feasible—demonstrating clear, measurable impact from InfinityQS’s intervention.