Merchandising
What type of merchandise should be in which store? What allocations? At what price point? Allant helps retailers answer these questions based on the unique customer demand characteristics within a given trade area. Allant leverages proprietary techniques to create highly predictive customer level attributes that are refined to specific store geographies. These attributes are used to create unique, actionable insight for forecasting demand. As a result, inventory positions and pricing strategies experience significant improvement.
Customer Centricity and Predictive Intelligence
Customer-centric merchandising aligns merchandising policy with customer needs and expectations. Allant leverages our best-practice methodology and analytic and modeling techniques to generate customer insights that create customer-centric merchandising strategies to improve inventory position, assortment allocation and pricing. |
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Predictive Intelligence is the art and science of integrating data, technology and predictive analytics to generate actionable customer, merchandising and store portfolio insights. A Predictive Intelligence engine is designed and maintained as a long-term asset that continually generates new, increasingly powerful, customer insights and drives incremental performance improvement and value to the broader organization.
For Merchandising solutions, Allant applies its customer-centric approach to the following areas: Product Forecasting, Assortment Optimization and Pricing Optimization.
Product Forecasting
Accurate product forecasting is a critical success factor to improving inventory positions, assessing growth opportunities and understanding the impact of marketing strategy. It also serves as the foundation to optimizing product assortment and pricing. Allant deploys a blend of analytic solutions to deconstruct consumer demand to understand the impact of native demand, causal demand and marketing demand. By assessing categories and analyzing consumer trends, store and market characteristics and influencer data, highly accurate forecasts are developed at the product, category, store and enterprise levels.
Assortment Optimization
Identify new opportunities to capture market share with existing and new formats as well as create new revenue streams through competitor evaluation. This analysis includes: relative projections of the market opportunity; an understanding of the competitive landscape; identification of key competitor’s merchandising by category and by total brand; product mix ratio, services, display, promotions and pricing strategy; and identification of competitive opportunities for new categories.
Pricing Optimization
Determine pricing levels and changes by understanding consumer insights, merchandise characteristics, enterprise and influencer data. Pricing Optimization determines the relationship between price and customer demand to identify sensitivity indices. These indices provide a portrait of optimal prices by product by market over a given time period. Providing Value
Product Forecasting, Assortment Optimization and Pricing Optimization are enabled by Predictive Intelligence. Allant’s Predictive Intelligence engine provides the infrastructure for:
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