A nationally-recognized garment industry manufacturer/retailer sought improved efficiencies in their retail store operations.
Extended analysis in recurring costs were conducted; identifying patterns in operations costs that could be modeled and optimized.
The combined efforts of Data Engineers, Data Scientists, and Machine Learning Engineers delivered tools that optimize store operations costs and improve their efficiencies.
A medium-sized retailer was experiencing high operating costs on their decades-old website while suffering poor user conversion rates by website users.
The retailer's Business to Customer and Business to Business websites were replatformed to a modern, high capacity eCommerce platform.
The B2C and B2B's website's costs-of-operation were dramatically reduced while the revenue gains exceeded their previous websites by over 50%.
A major US-based medical device company required a complete platform rebuild of their premier capital equipment product; rebuilding their products hardware and software architectures.
The company had a history of release difficulties and product cancellations due to product quality and scheduling shortfalls. Substantial measures were needed to insure project success.
Project execution data was used to closely monitor actual schedule progress. When anomalous trends emerged, they were promptly addressed; enabling a successful new product release.
A premier US-based computer chip manufacturer was building new microchip fabrication plants. A key capital equipment machine for these plants was failing the reliability, cleanliness, and throughput requirements needed for these plant's operational success.
The chip manufacturer's supplier was experiencing challenges in working with the manufacturer in articulating their understanding of the problem, their root cause analysis of issues, and their means for delivering solutions.
Expertise in the chip manufacturer's problem solving processes was effectively applied across the vendor's operations; dramatically improving communications, analysis techniques and delivery of solutions. Ultimately, the supplier was awarded "Preferred Quality Supplier" status.
The leading US-based manufacturer of semiconductor machines for yield management was experiencing continued losses in sales as their legacy tools were increasingly uncompetitive in reliability, metrology performance, and user interface complexity.
A focused campaign was executed to modernize the equipments' hardware operation, for improved metrology performance, and user interface operation (through automation).
The campaign was hugely successful as it virtually eliminated the company's competitors; giving the manufacturer a 90% share of the metrology market.
A major US retailer in automotive parts, supplies and services attempted to replatform their website to a modern eCommerce platform through another 3rd party vendor.
The retailer's first replatforming effort yielded a website with poor reliability, extremely high operating costs, and revenues substantially below their legacy website's performance.
A focused campaign was executed to identify and correct the replatforming mistakes, identify and execute key website enhancements, and reengineer the website's user interface.
The enhanced website delivered lower website operating costs, improved store sales through website-store services scheduling, and improved website revenues.
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