High daily variability in demand
Sales fluctuate depending on weather, day of the week or seasonality.
The predictive forecast analyzes daily consumption patterns and adjusts the replenishment automatically.
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Retail companies in the poultry sector manage highly perishable products, sensitive to temperature and with highly variable demand. Maintaining availability without overstock, avoiding shrinkage and ensuring regulatory compliance requires advanced planning and technology.
Inventory is updated manually and does not reflect actual stock out on shelves.
Daily replenishments are not adjust to the real rate of consumption.
Excess product without a quick outlet increases losses and reduces profitability.
The connection between systems offers real-time visibility of the stock, including batches and expiration dates.
Predictive planning generates automatic orders by store and category, adjusted to the local demand forecast.
AI algorithms They recommend optimal coverage by SKU and expiration date, avoiding overinventories.
Non-automated management increases the risk of selling expired or non-traceable products.
Lack of control over temperatures or cold flows can compromise product quality.
Sanitary inspections require complete and accurate information.
Digital traceability allows each batch and its rotation to be automatically recorded, ensuring regulatory compliance.
Integration with IoT sensors monitors the cold chain in real time, generating alerts for deviations.
Consolidate traceability, temperature and expiration data, facilitating audits and guaranteeing compliance.
Orders do not adjust to the actual demand of the point of sale.
Logistics incidents increase costs and affect availability.
The store is unaware of delays or breakages until they impact the sale.
The predictive forecast connects sales, stock and distribution, adjusting orders in real time according to consumption and lead times.
Advanced planning consolidates orders and optimizes deliveries, reducing reactive transportation.
Configure automatic transportation and availability alerts, improving daily planning.
Promotions or festivities generate sales peaks that are difficult to predict.
Post-campaign surplus translates into losses or expiration.
Decisions are based on sales, without considering losses or logistical costs.
The seasonal forecast anticipates the impact of each campaign and adjusts the coverage per store.
Predictive models recalculate post-promotion coverage and prioritize the redistribution of the product that is about to expire.
The dashboards combine sales, margin and shrink by SKU, offering a clear view of net profitability.
Sales fluctuate depending on weather, day of the week or seasonality.
The predictive forecast analyzes daily consumption patterns and adjusts the replenishment automatically.
Products about to expire are not prioritized appropriately.
The FEFO system automates rotation and activates expiration alerts, reducing waste.
Operational performance by store is not measured in an integrated way.
Dashboards unify logistical and commercial KPIs, facilitating decisions based on data.
Key indicators that offer a clear vision of the strategic weight that this industry has in the current and future global economy.
Data obtained from Statista*
Connect demand, procurement, and production through a modular cloud platform, designed to adapt to the unique needs of every industry.
Integration with all ERPs
100% Cloud, ISO 27001 Certification
Customer reviews
Measurable results
Ecosystem tailored to your needs
Quick implementation
Start with our demand module, the tool that allows you to calculate how much you will sell.
Add the features that suit your business. Scale at your own pace and expand when you need to, with our plugins.
Once you've added the features you need, get your price with our calculator. And if you have any questions, we'll sort them out for you.
Imperia gives you the functionalities you need and not those on the market, a solution that adapts and you pay for what you need Pau Font, Supply Chain Manager at NOEL Alimentaria
Implementing the software with Imperia is a quick and straightforward process, starting with the integration of the demand module, and can be complemented with 2 new phases. Incorporating the purchasing module and the production module.
A process with full support from our team, with personalised training and consultancy.
Reduce costs in transportation, storage and distribution.
Minimizes inventory losses due to damage or expiration.
Reduce immobilized stock thanks to dynamic coverage.
Fine-tune your product classification based on what matters most to your business.
Increases efficiency by minimizing downtime and optimizing transitions between production steps.
Fine-tune daily demand distribution with heuristics tailored to real monthly behaviour.
Activate the BIAS indicator to detect overestimations or underestimations of actual demand values.
Optimize forecasting at more aggregated levels by grouping sales historical data taking advantage of a larger dataset.
Provides the ability to visualize the commercial budget within the tool for analyzing fulfillment at different granular levels.
Optimize your overseas purchase orders by arranging them in containers based on dimensions and weight restrictions, maximizing efficiency for your orders to international vendors.
Add more flexibility to your planning by expanding the grouping hierarchy to seven levels for deeper and more relevant analysis.
Customize your S&OP cycle by creating and editing tasks and meetings that fit your operations.
Activate the DFA indicator to detect to detect forecast deviations, indicating the level of accuracy in predicting actual demand.
Report that allows identifying references within the portfolio that continue to have sales despite being discontinued.
Expand the available product attributes selection to a maximum of 20.
Lengthen the planning horizon to analyze your demand beyond 12 months.
Display your yearly budget in the system and monitor performance across different analysis levels.
Enables the user to specify a total sales figure for a given time frame and automatically distributes it.
Assign forecast modifications to predefined concepts for effective tracking of events that impact demand.
Integration service that facilitates the connection from the customer's system to SCP through a user-friendly interface.
Automatically plan the company's production, defining which products to manufacture, in what quantity, and when, to ensure deliveries are made within the established deadlines.
Manage material requirements to meet the forecasted demand, calculating the necessary coverage to avoid excess stock and shortages. Based on this, automatically generate a purchase order plan, taking into account lead times and supplier order constraints.
The plugin ensures that your procurement planning meets the minimum order requirements set by your suppliers, whether by quantity or value.
Assign multiple suppliers to a material, and SCP will select the most appropriate one based on its procurement criteria.
Manage inventory levels across multiple supply chain stages and monitor transfers and orders to ensure optimal availability and reduced costs throughout the network.
Load pending orders to visualize them alongside your demand forecast and use them to plan procurement and production accordingly.
Configure the demand distribution for new product launches, with the ability to replicate the launch of another product or market entry.
Optimizes inventory management by considering expiration dates, adjusting purchases, and simulating stock flow based on product lifespan.
Factor in the sales history of discontinued items to improve demand forecasts for the products that replace or cannibalize them.
Sequence production orders by considering line availability, performance as well as setup and changeover times to optimize the production plan and meet deadlines. Detect bottlenecks and adapt the plan to changing needs in a convenient Gantt chart.
Enhance your planning by accounting for raw materials that yield multiple products, semi-finished goods, or bulk outputs.
Specify non-working days or days without sales dispatch to exclude them from the demand forecast.
Manage sales contracts by monitoring their monthly fulfillment to adjust planning accordingly.
Weighted deviation report based on the sales volume of each product with respect to the total portfolio.
Define accurate selling prices for demand forecasting. You can configure them at different levels of detail for specific date ranges.
Automatically detect outliers in the historical sales of a product that may have been caused by promotions and suggest the impact of future events indicated by the user.
Calculate demand forecasts by considering both sell-in to distributors or retailers and their sell-out to final customers. You can configure distributors' procurement parameters, including coverage, frequency, lead time, refill quantity, and even sales growth percentages.
Estimate the first availability date for the products belonging to each customer order.
Enables daily tracking of stock levels and facilitates analysis through alerts and detailed reports.
Monitor supplier contracts, providing alerts and key performance indicators.
Measure supplier performance and delivery reliability with a clear, configurable OTIF metric.
Specify non-working days of each supplier to take them into consideration in the procurement plan.
Enables the unit of measure conversion for each product to facilitate a cross-functional assessment of quantities.
Refine the short-term forecast by focusing on the most recent weeks and limiting further impact within a determined horizon.
Enhance the analysis of demand forecast results and facilitate decision-making with strategic indicators such as YTD (Year-to-Date), YTG (Year-to-Go), and year-over-year comparison metrics.
Total Price:
€850,00
Schedule a meeting with our Supply Chain experts and discover the features that will make your supply chain a complete success.
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