Difficulty in launching new products or specific ranges
The lack of history makes it difficult to predict demand initial.
The forecast by analogy estimates demand based on similar products and adjusts coverage according to the first sales.
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The animal care retail sector combines high sanitary sensitivity with constantly shifting demand. Specialist stores and retail chains must guarantee the availability of pharmaceutical, food and hygiene products without creating overstock or facing expiries.
Stores replenish by volume or periodicity, without analyzing the real consumption rate.
Stock data does not always reflect real stocks or expiration dates.
Some stores accumulate stock while others suffer stockouts.
Predictive forecast anticipates daily demand by category and generates automatic order suggestions by store.
Integration between systems offers complete inventory visibility, with traceability by lot and expiration date.
Intelligent redistribution balances inventory between points of sale according to local demand and rotation.
Pharmaceutical and food products have strict expiration dates and require batch traceability.
Poor inventory or traceability management can lead to penalties or product recalls.
Increasing availability can increase the risk of expiration and waste.
Automate stock rotation, prioritizing products closest to their expiration date.
Link each batch with its complete history, guaranteeing full traceability from the supplier to the end customer.
Adjust coverage levels based on demand and useful life, optimizing rotation without compromising service.
Campaigns generate breakages in promoted products or excess post-campaign.
Surplus accumulates due to lack of subsequent adjustment.
Promotions are planned without considering logistics or stock capacity.
The promotional forecast estimates the impact of each action and recalculates coverage for each store before and after the campaign.
Predictive models redistribute the leftover product or activate dynamic discounts by point of sale.
Collaborative planning connects marketing, purchasing and logistics under the same forecast operational.
Assortment decisions are based on volume, not profitability.
Excess references complicate replenishment and take up profitable space.
Profitability is diluted due to lack of segmented data.
The dashboards integrate margin, rotation and coverage, identifying the products with the highest contribution per store.
Predictive analysis recommends the optimal mix according to rotation and customer profile by region or store format.
The system analyzes profitability by family, brand and format, optimizing exposure and pricing policy.
The lack of history makes it difficult to predict demand initial.
The forecast by analogy estimates demand based on similar products and adjusts coverage according to the first sales.
Omnichannel inventory is managed independently, generating inconsistencies.
Data integration unifies stock by channel and optimizes replenishment according to purchasing behavior.
Stores do not receive real-time information about delays or breakages.
Real-time tracking reports on the status of each order, improving daily management.
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 in one modular cloud platform, designed to adapt to the unique needs of any 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.
The Imperia tool has given us a global vision of all our references ordered in production lines and in days of average sales coverage, in order to better plan and forecast our operations. J. Alberto Iniesta, Logistics Manager at Almond Laboratories
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.
Increase the accuracy of your predictions, bringing the expected demand closer to reality.
Reduce the time your products remain in the warehouse, increasing their rotation.
Improves the number of orders delivered in full and within the established time frame.
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
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