KEY BENEFITS

Coherent forecasting strategy and objectives among all departments and retail activities

Faster return on investment when coupled with a proper process execution

To address the needs of large and multi-national retailers, in’ ANALYTICS is integrated into valoores applications:

• Merchandise Decision Suite, which includes applications for Pricing, Promotions, Assortment and Supplier Data Management, as well as Supplier Negotiation and Deal Management
• Retail Information Management Platform, which facilitates item management and supplier data synchronization Execution Management Services, Integrating Security, Workflow and Reporting

valoores consumer demand forecasting suite allows retailers to predict all types of consumer demand by item, SKU or grouping, by day, week, month or period, at corporate, market, distribution center or store level.

• Improved accuracy of sales forecast
• Reduction in operational delay and cost due to impact of better forecast to avoid out-of-stock or overstock
• Homogeneous system for forecasting/analytics requirements
• Better visibility among various departments and categories on the impact of forecast on other departments
• Real-time follow-up on forecast

KEY FEATURES

in’ ANALYTICS provides modular and configurable functionalities that adapt to multiple business requirements:

in’ ANALYTICS – Data Definition and Classification

• Data cleansing controls are applied to integrated data at various steps of the process
• Advanced Stores and Items Sampling (Panel) are used to master the amount of data required
• Data Mining techniques are also integrated to data classification process

in’ ANALYTICS – Analytical Model Building

Methods used include known and adapted non-parametric, statistical and panel techniques
Calculate indicators required for forecasting and optimization such as seasonality, trend, and elasticity
Considerations that are taken into account:

• New Products
• Slow Movers
• Slow Movers
• Weather impact

in’ ANALYTICS – Forecasting Results

• Process forecasting requests based on business criteria such as pricing, promotions or replenishment
• Calculate error accuracy indicator such as MAPE
• Consolidate impact on the category and across categories for halo and cannibalization indicators.

in’ ANALYTICS – Optimization Results

Process optimized results based on the objectives, constraints or rules of the business process such as pricing, promotions or assortment

in’ ANALYTICS – Automatic Model Update

Update model automatically based on:

• Period frequency
• User requirements