Analysis
Software Tour - Analysis
Predicting Consumer Behavior with Revionics Analysis
Revionics Analysis is the scientific component of the platform that inteprets and predicts consumer behavior. The Analysis module makes sense of the volumes of data retailers produce each day, from point of sale to t-log data. The Analysis module blends both science and rules, blending the practicality of managing a business with the sophistication of leveraging consumer demand intelligence.
A sampling of Revionics Analysis components is below. Retailers can adjust the configuration any time and re-optimize prices on-demand. Alternately, retailers can leverage our highly experienced Consultants to tune the Analysis engine based on business goals or pricing strategies. Our price optimization software's customizable settings include:
Demand Analysis:
- Multinomial Logit (Marketshare) Model
- Seasonality / Holidays
- Supply / Demand Impacts
- Deals / Promotions
- Weather Effects (Optional)
Elasticity Analysis:
- Increase / Maintain Revenue $ or %
- Increase / Maintain Margin $ or %
- Increase / Maintain Units
- Brand Equity & Sensitivity
- Manages brand sensitivity relationships
Margin Analysis:
- Processes cost changes
- Allows target margins to be set.
- Finds best items for price changes
Volume Analysis:
- Adjust item prices to achieve “Sweet Spot” between margins & movement:
Competitor Analysis:
- Competitor Indexing
- Prioritizes or Weights Response
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Good-Better-Best Analysis:
- Private Label – National Brands
- Brand Equity / Sensitivity
Relational Pricing Analysis:
- Price Families / Linked Items
- Price Per Unit - Size / Parity
Ending Number Analysis:
- Round Up / Down
- Evaluates Multiples vs. Each
Market Basket Analytics:
- Item Affinity
- Cannibalization
Markdown Analysis:
- Optimal clearance of inventory
- Increases sell-through or margin
Promotion Analysis:
- Recommends best promotional items
- Recommends best promotional offers
- Supports Ads, Events, and TPRs
- Forecasts lift and promotional impact
- Promotion Frequency Analysis
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Flexible Strategy Configuration by Organization Hierarchy
Retailers have the flexibility to configure the analysis engine at
all levels of the enterprise or product hierarchy. For example, retailers can have a unique price strategy for each banner, each department within the banner, and even down to the item level.
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Set unique strategies for demand groups (Key Value Items) across departments, categories and subcategories.
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