Variability of demand between channels (supermarket, gourmet store, online)
Forecasts do not differentiate purchasing patterns between channels.
Omnichannel planning adjusts replenishment and coverage by customer type and store format.
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In hot beverage distribution, the variability of demand, seasonal promotions and the wide diversity of formats complicate planning. Maintaining availability without inflating inventory requires visibility, agility and foresight.
Replenishment decisions are based on imprecise or incomplete data.
Store staff replenish without distinguishing high-moving products or strategic.
Orders do not adjust to the actual demand of the point of sale.
Integration between systems offers real-time visibility of stock, detecting breakages before they affect the end customer.
Predictive algorithms generate automatic replenishment lists by priority, rotation and profitability.
Synchronized planning allows automatic orders based on real consumption and optimal coverage by SKU.
Premium or seasonal varieties remain on the shelves for too long.
The same product mix does not work the same in all stores or regions.
The high variety of formats makes it difficult to maintain a profitable balance between availability and display.
ABC-XYZ segmentation classifies references according to rotation and margin, prioritizing the most profitable ones and reducing the excess.
Planning by store adjusts the assortment based on local preferences and rotation speed.
AI models calculate the optimal assortment per linear, maximizing profitability per square meter.
Sales suddenly increase during campaigns or temperature drops.
The post-promotional surplus reduces margins and takes up warehouse space.
The real impact on margin or rotation is not evaluated when a promotion is launched.
The predictive forecast adjusts coverage with external variables such as weather, promotions and holiday calendar.
The system automatically recalculates coverage after each campaign and recommends liquidations or redistributions.
The charts commands cross sales, cost and profitability data, measuring the return by product and promotional action.
Administrative tasks limit the operational time of staff.
Batches of products close to expiration are not prioritized correctly.
Purchasing decisions are based on volume and not on margin real.
Order automation reduces manual tasks and ensures accuracy in daily replenishments.
The FEFO system automates rotation and generates proactive expiration alerts.
The dashboards integrate financial and rotation indicators, optimizing profitability by family and point of sale.
Forecasts do not differentiate purchasing patterns between channels.
Omnichannel planning adjusts replenishment and coverage by customer type and store format.
Late replenishments force off-route shipments.
Predictive planning prioritizes consolidated deliveries and efficient routes.
Seasonal references are not adequately planned.
AI models apply seasonal forecasts by area and temperature, reducing deviations.
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.
Increase the rotation of stored products, reducing costs and obsolescence.
Reduces the amount of references in stock, freeing up immobilized capital.
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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