Short planning horizon
A quarterly forecast generates spot purchases and breakages.
Expand the planning horizon to anticipate needs, optimize purchases and reduce operational emergencies.
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With strong seasonality, intense promotions and tight expiration dates, inventory management is critical. A forecast connected to purchasing and production ensures availability, reduces losses and allows us to respond quickly to market changes.
Sales of coffees, teas and infusions skyrocket in winter, generating fluctuations that are difficult to predict.
The linear forecast fails and causes emergencies or line stops, affecting the continuity of production and service.
Diluted margin and perception of service failure by the client due to poor anticipation of demand.
Recognize weekly patterns and adjust forecast to reflect the real seasonality of consumption.
Quantify real impact of campaigns to integrate their effect into planning and avoid overproduction or breakages.
Agile planning that maintains availability without inflating inventory, guaranteeing efficiency and service level.
Importing raw materials and packaging with long lead times and high MOQs, which limits flexibility and increases the risk of breakage.
Line stops or exorbitant logistics costs if a supplier fails, affecting operational continuity and meeting deadlines.
The lack of consolidation and automatic verification generates half-empty containers or overorders that increase costs and tied up capital.
Dynamically change suppliers based on availability to ensure supply and reduce the risk of interruptions.
Consolidate volumes until containers are full, optimizing logistics costs and delivery times.
Automatically verify MOQs to meet minimums without overordering, maintaining a balance between coverage and financial efficiency.
Each change in aroma or packaging requires CIP cleaning, purging and thermal adjustments, generating downtime and loss of productivity.
Blind sequencing causes loss of shifts and extra cost per liter bottled, affecting operational efficiency.
The absence of finite capacity planning prevents the grouping of compatible SKUs, causing micro-stops and line overload.
Model real changeover times to adjust productive sequences and reduce downtime.
Plan at finite capacity by grouping compatible SKUs to minimize unnecessary cleaning and format changes.
Reduce micro-stops and free up production hours, improving the overall efficiency of the plant.
Distributors buy full pallets but sell at retail, generating a distorted perception of demand.
Forecast does not reflect real consumption, causing breakages or late overproduction and loss of efficiency in planning.
The absence of real-time sell-out data prevents adjusting production and replacement, affecting availability and service level.
Convert sell-out into net demand according to purchase frequency to align forecast and replacement with actual consumption.
View order vs forecast deviations to detect discrepancies and correct forecasts quickly.
Adjust production in advance to maintain shelf availability and avoid both breakages and excess inventory.
A quarterly forecast generates spot purchases and breakages.
Expand the planning horizon to anticipate needs, optimize purchases and reduce operational emergencies.
Stock confusion and urgent transfers.
Centralize inventory management with real-time visibility to better coordinate transfers and reduce logistics costs.
Expired lots affect the forecast and purchases.
Implement batch control and early alerts that identify products close to expiration and automatically adjust forecasts.
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 arranged in production lines and in days of average sales coverage, in order to better plan and forecast our operations.” J. Alberto Iniesta, Head of Logistics at Laboratorios Almond
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.
Increases the rotation of stored products, reducing costs and obsolescence.
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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