Imperia plugins catalogue

Allows analyzing what percentage of your references deviate more than 25% from actual sales, broken down by ABC categorization.

Adapter that allows API connection from the client system to SCP and vice versa through a user-friendly interface.

Metric to detect bias in forecasts, indicating whether they tend to overestimate or underestimate real demand values.

Metric to detect bias in forecasts, indicating whether they tend to overestimate or underestimate real demand values.

Use sales history aggregation, benefiting from a broader data set, to improve forecasting at more aggregated levels.

Compliance report between actual sales and budget.

Reports sales orders confirmed by the customer within the system, allowing to anticipate future demand and optimize inventory management and forecast calculation.

Contract management with tracking, monthly volumes, forecast adjustments and alerts system.

Allows modification of the alert classification criteria in the forecast analysis.

Plugin to measure the accuracy of demand forecasts using DFA.

Report that allows identifying references within the portfolio that continue to have sales despite being discontinued.

Functionality that improves the analysis of forecast curves with strategic indicators YTD, YTG and derivatives, facilitating decision making.

Expands up to 20 attributes per product, improving analysis and broadening categorization for more informed decisions.

Extend your planning horizon to analyze your strategic and operational growth more than 12 months ahead.

Set sales targets at specific time intervals and redistribute demand according to actual history.

Analyze differences between forecasts and budgets. Visualize variances with clear indicators to optimize strategies.

Introduces different specific concepts in the modification of forecasts, capturing each type of modification and tracking them.

Allows you to load demand forecasts at various levels of aggregation and perform bulk edits or additions.

Report that analyzes inventory turnover and overstock based on historical and calculated demand.

Allows to load budgets at different levels and distributes at SKU level using historical behavior curves.

Weighted deviation report based on the sales volume of each product with respect to the total portfolio.

Analyze discrepancies between forecasts, actual sales and budgets. Visualizes deviations with clear indicators to optimize strategies.

Manages the evolution of tasks and participants within a milestone in order to work and coordinate large teams.

Allows the definition of measurement conversions at product level for a cross-sectional analysis of the information.

Monitor inventory and demand from different warehouses ensuring timely replenishment.

Adjusts the forecast in the short term, giving more importance to the last weeks and limiting its additional impact on a fixed horizon. Ideal for short-term products.

Enables more accurate planning by configuring and excluding non-working days in the demand projection.

Analyzes the evolution of the last months compared to previous years to detect variations in the year-on-year trend.

Improves the analysis of forecast curves and facilitates decision making thanks to strategic YTD, YTG and derived indicators.