Retail

Powerful Retail Analytics. Powerful Profits.

With Wall Street’s emphasis that organizations institutionalize custom analytical technologies, Ergenomics constructed a versatile, boutique-style resource network of highly skilled professionals and affiliate partners. Our approach is extremely disciplined; by focusing on the core elements (Business Process | Data | Analytics), we can address all major challenges within the retail industry.

What makes us different?  Unlike most other analytics companies, we approach your retail business from an enterprise standpoint to help you create one view of your business. We utilize your business knowledge and experience, and assist your executives to identify relevant information to make the best possible enterprise decisions.

Our high powered retail enterprise analytics approach saved one retailer over $300,000,000 in unnecessary mark-downs.  We’ve helped other retailers modify their assortment and eliminate SKU’s that were unproductive while improving the assortment and significantly increasing sales.  We’ve helped retailers modify pricing on select items and driven large margin improvements.

We help our clients through the entire process, which we call The Blueprint of Enterprise Analytics:

Typical retail areas of emphasis for us include:

• Demand Forecasting
• Marketing Optimization
• Price/mark-downs Elasticity
• Fraud Detection
• Loss Prevention

Our retail-focused services are available via several different flexible models:  staff augmentation, SaaS, scoring engine deployment, strategic project assignment, and affiliated partner offering.

Our recent retail whitepaper- Retail Analytics: Competitive Differentiation

It is no surprise that retail is an ever-changing and dynamic environment. With the economic and competitive landscape reshaping itself before our very eyes, retailers find themselves challenged to meet the customized demands of their customers, while still clinging to some sense of efficiency and scalability (and, profitability)- not an easy task by any means…
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