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VisionEdge SABR.
Optical retailers today face a significant revenue opportunity hidden in plain sight: the arrangement of eyewear brands on their display boards. Many stores rely on static planograms or vendor-driven allocations, causing them to leave potential sales on the table. VisionEdge SABR is a desktop analytics solution that addresses this gap by predicting the sales impact of reallocating board space and by providing data-driven recommendations on how to adjust the assortment each month. By leveraging advanced statistical modeling and machine learning, VisionEdge SABR enables retailers to maximize returns and manage risk through intelligent, adaptive assortment planning.
VisionEdge SABR combines proven analytics with practical business constraints. It evaluates each brand’s performance (how well sales justify its share of display space) and identifies under-performing frames to remove and over-performing brands to expand. The solution produces a clear action plan – which brands to add, remove, hold, or reallocate – along with the expected sales lift, margin impact, and risk assessment for each change. The result is higher sales and margins through optimized product mix, faster monthly planning cycles (hours instead of days), more leverage in vendor negotiations with data-backed insights, and tightly controlled execution risk on changes.
At the core of VisionEdge SABR is a rigorous modeling engine built on per-brand efficiency analysis. It uses a SABR scoring model (short for Saturation-Adjusted Brand ROI) that combines a brand’s sales-to-board-space efficiency with its return on investment. This model, enhanced by optional neural network forecasts and Monte Carlo risk simulations, guides the recommendation engine to prioritize high-ROI changes. Every recommendation is grounded in data – from historical sales trends to statistical confidence intervals – ensuring that retailers can trust the plan to deliver measurable results. In pilot deployments, VisionEdge SABR has demonstrated monthly sales uplifts of 3–8% in previously static boards, while also reducing planning time by over 50%.