James Lewis, CEOFor mid-size manufacturers working with large retail partners, inventory planning often breaks down at a specific point. As product assortments expand and selling environments grow complex, spreadsheets no longer hold up, and enterprise planning systems remain too expensive and resource-intensive to implement. Teams are expected to track demand shifts, manage allocations and determine buy levels with precision with manual analysis and fragmented tools.
Enhanced Retail Solutions (ERS) was purpose-built to help mid-size businesses improve inventory planning. It combines customized analytics, AI-driven forecasting intelligence refined over more than a decade and hands-on expertise into a system that advances planning capabilities without the investment and internal demands of enterprise systems.
“Our inventory planning solution is geared to those companies that want to bring a much more powerful and customizable tool set with baked-in intelligence to their company, but at a much more affordable price and a much more easily integratable product,” says James Lewis, CEO.
How does ERS customize planning tools to individual business models?
Differentiating ERS is the way customization shapes how the system is built and used. Instead of locking clients into fixed screens and predefined logic, ERS configures views, metrics, time frames and calculations around how each business evaluates performance. This flexibility supports a range of product categories, each with distinct selling patterns and planning requirements.
Clients get the software along with ongoing advisory support. Every engagement includes hands-on, boutique-style consulting from a team with direct retail and wholesale experience. They ensure clients can interpret trends, prepare for retailer conversations and guide planning decisions beyond basic forecasting.
Defying Manual Limits with Adaptive Precision
How does adaptive forecasting replace one-size-fits-all planning methods?
ERS’s platform connects with virtually any existing ERP systems and is designed to adapt to varied business models.
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Our inventory planning solution is geared to those companies that want to bring a much more powerful and customizable tool set with baked-in intelligence to their company, but at a much more affordable price and a much more easily integratable product.
It pulls in sales and inventory data on a weekly basis, allowing item behavior to be analyzed to identify patterns like seasonality, sporadic demand, maturity and volume behavior. This determines which planning methodology is applied, avoiding a one-size-fits-all forecasting approach.
Data is centralized and analyzed within its backend environment, IntelligentRetail.net, which houses the forecasting intelligence. A user-friendly interface then delivers the data. Clients retain the ability to adjust views in ways that resemble spreadsheet flexibility, but with far greater automation and analytical depth.
Forecasts extend up to eighteen months and are aligned against available inventory and work in progress to produce clear buy recommendations. The intelligence behind these suggestions reflects what an experienced planner would typically evaluate, while removing much of the manual analysis from the process.
Inventory Planning Tailored to Business Realities
How does ERS translate planning intelligence into actionable inventory decisions?
Real-world examples demonstrate how its planning approach supports decision-making. One instance involved a parts manufacturer managing more than 300,000 stock keeping units. After years of using spreadsheets, the company struggled to prioritize actions across such large assortment.
ERS introduced an alert-driven process that quickly identified problem items, showing where inventory was too high, too low or at risk. This helped the business balance availability with appropriate inventory investment. An inventory health view translated those signals, providing clear recommended actions and a shared view that teams across the organization could act on. Work that once took weeks was reduced to seconds, improving buy accuracy while lowering overall inventory investment.
Beyond forecasting and inventory health, the system also quantifies lost sales and missed opportunities by analyzing store-level stockouts against historical selling patterns. In some cases, customers use this visibility to support vendor-managed inventory programs, collaborating more closely with partners to improve allocation and in-stock performance.
Going ahead, ERS remains focused on refining its planning model rather than expanding into new product categories or enterprise platforms. With retail environments placing more responsibility on suppliers for availability, allocation and performance, inventory planning will demand greater rigor.
Enhanced Retail Solutions’ planning model is built for scale, variability and accountability. As suppliers serving major retailers face pressure to plan smarter, the company is expanding its reach to those who need a planning logic that remain effective without enterprise overhead.
