- Pricing based on elasticity, cross-elasticity, sales traffic to separate SKUs.
- Pricing taking into account the distribution of goods by price segments, substitute goods, RMP (Recommended Minimum Price), RRP (Recommended Retail Price)
- Possibility of separate pricing for formats, regions, clusters, individual stores, taking into account the goals: maximizing gross income or revenue
- Control calculation limits for the category (minimum profitability, maximum price increase (for the calculation, for the period)) based on the strategy: income/revenue/traffic generator
- Preliminary calculation with sales forecasting, taking into account new prices, inventory, purchase price and manual adjustment
- Smart rounding of prices, setting up rounding rules and cents, accounting for product lines
- Pricing based on a given price gap between PLs and brand goals
- Optimization of the price gap between PLs and Brand goal
- The possibility of defining Brand goals automatically
- Loading competitors’ prices
- Choosing a strategy for setting prices KVI (goods indicators): the prices are equal to the competitor’s price, the price is higher by a given %, the price is lower by a given %
- Smart rounding of prices KVI
- Control price reduction on KVI
- The possibility of promotional pricing by store levels (formats / regions / clusters)
- Possibility to select SKUs recommendations in promo, taking into account the Penetration Index of entry into the receipt, the roles of goods (Basket drivers, Gross income generators), taking into account the allocation of Super-elastic promo SKUs and purchase prices
- Selection and calculation of SKUs for inclusion in promo, selection of the duration and depth of discounts, taking into account the lift
- Recalculation of regular prices taking into account promo prices
- Sales forecasting based on new promo prices and OOS
- Determination of optimization strategy (gross margin, revenue, balanced strategy)
- Setting restrictions on the possible reduction in the number of sales and price increases
- Automatic search for optimal pricing solutions and appropriate parameters to achieve a given target value, taking into account restrictions
- Saving the found optimal parameters by default for automatic calculations
- Estimation of price elasticity taking into account the price of competitors according to the competitive demand function
- Calculation of a price point based on several competitor prices
- Determination of the competitive pricing strategy, taking into account the validity period of competitors’ prices and the coefficient of influence
- Setting the method for calculating the prices of priority competitors
- Setting the permissible deviation from the price point
- Automatic detection of pricing deviation from competitors’ prices, taking into account the optimization strategy
- Classification of SKUs according to the Penetration Index, Elasticity
- Accounting for the range of competitors’ prices
- Highlighting among SKUs products recommended as KVI as price perception and basket generator
- Accounting for price segments, selection of KVI in different price segments
- Uploading recommendations to an Excel file
- Saving recommended SKUs as KVI for calculations
- Creating a basket and adding products to the KVI basket
- Removing an item from the KVI basket
- Setting basket parameters and individual product parameters in the basket
- Calculation of SKUs characteristics in the KVI basket
- Calculation of regular prices for individual baskets in all categories included in the KVI basket
- Selecting multiple categories for simultaneous calculation
- Calculation of several categories in the background
- Automatic creation of reports on recommended prices for selected categories
- Setting the category calculation schedule
- Starting recalculations for a specific event
- Setting priorities for revaluations, taking into account the restrictions of changing price tags
- Calculation of optimal entry prices for the season, taking into account the period of bargain sales and inventory
- Dynamic determination of the optimal discount for a bargain sale in the current bargain sale period, taking into account the actual sales statistics and inventory
- Generating a report on recommended bargain sale discounts for specified bargain sale periods
- Choosing a pricing strategy for new products («Skimming» or Entry into the category)
- Setting the maximum price gap parameter for a category Entry strategy
- Automatic identification of the price segment and the target product for the entry strategy
- Calculation of prices for new products taking into account the selected pricing strategy of new products
- Uploading price data from aggregators from aggregators and price monitoring platforms according to a schedule or automatically when prices change
- Integration with Google analytics of relevant requests (by brand, model or characteristics)
- Feedback accounting — Uploading data with preliminary analysis and recognition of positive or negative reviews and counting their number (or integration with feedback platforms)
- Selection of comparable products for monitoring using a training sample (automatic comparison by product name) and cross elasticity or strictly set SKUs
- Automatic recalculation of prices according to the schedule, according to deviations from sales, receipt of new competitor prices, deviations on requests
- Analysis of Key Performance Indicators (KPIs) dynamics: Revenue, Sales, Gross Profit, Margin Profitability, Index of penetration in the check, for both the current year and year-over-year, with a breakdown to the weekly level.
- Analysis of price segments and distribution of Stock Keeping Units (SKUs) within price segments.
- Sales and gross profit dynamics analyzed by product categories and SKUs.
- Evaluation of the Price Index for KVIs and competitive pricing.
- Creation of various events (such as changes in purchase prices, competitor prices, etc.) for automatic recalculation.
- Email notifications of events and recalculations.
- Setting and managing price calculation schedules
- Creating calculation scenarios.
- Setting strategy and rules for individual scenarios.
- Calculating prices for selected scenarios.
- Comparing forecast indicators of different scenarios.
- Applying parameters and calculation rules of the selected scenario to future calculations.
- Setting limits for revaluations per day.
- Managing priorities for revaluations.
- Viewing calculation results and forecast indicators.
- Approving revaluations and automatically sending them for price setting.
- Defining pricing strategy options across channels/formats.
- Monitoring and maintaining defined omnichannel pricing strategies and rules.
- Setting calculation schedules and frequency for different channels/categories/regions.
- Online price parsing.
- Application for offline monitoring.
- Monitoring management dashboard.
- Analytics on monitoring data.
- Report export.