Wolverine Promotion Manager

The Wolverine Promotion Manager application enables companies to view historical promotion effects and to collaboratively plan future promotional activities. It allows users to analyze, view, and track promotion effectiveness from both sales and/or revenue/profit perspectives for past events, and provides what-if simulation analyses to plan future promotion activities.

The Wolverine Promotion Manager consists of various components, including a Promotion Catalog that maintains all types of promotions that were implemented or will be implemented by trading partners, and a Promotion Planner, which allows users to plan promotion events at any product and location hierarchy over a specified time horizon.

Wolverine Promotion Manager features include:

Promotional Calendar

• Promotions can be planned at any aggregate level. Parameters associated with promotion plans can be easily defined, such as calendar periods, campaign categories, recipient types (trading partner or end consumer), costs, budgets, etc.
• Historical promotion activities can be traced and reviewed along with related costs and promotional uplifts estimated by the baseline algorithm.
• Promotion deals can be archived in promotion catalogs, so they can be used again at later dates.
• Promotion calendar can be shared with relevant trading partners to effectively plan supply availability.

Promotion Effect Simulation

• Promotional impacts can be projected through a what-if analysis mechanism before a campaign plan is finalized. A summary report with simulated results from operational details (demand forecasts during the promotion periods) to profitability analysis can be easily reviewed.
• Embedded decision support generates promotion-driven components on top of baseline demand forecasts during simulations.
• Once a promotion plan is finalized, projected sales uplifts during the promotion period are automatically factored into demand forecasts.

Baseline Demand Calculation

• Baseline algorithms are designed to estimate and extract the impact of historical promotion events separately from standard forecast components that are based on "normal" historical sales data.
• The estimated impact from all historical promotional events are statistically summarized as key performance indicators, which can be reviewed from any perspective such as by product, by location, by promotion category, etc.

Key Performance Indicators (KPIs)

• Provides a set of common key performance indicators, such as promotions uplifts, estimated costs, profitability analysis, etc to measure the effectiveness of promotional planning and execution.