Daily variability in the sale of fresh products
Demand changes by weather, day of the week or location.
Predictive forecast dynamically adjusts coverage according to local sales patterns and climate.
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The retail channel in the meat industry combines a highly perishable product, strict health regulations and a demand that is sensitive to price, climate and seasonality. Retail chains must guarantee freshness without overloading inventory, optimize rotation in chambers and shelves, and maintain impeccable traceability.
Stores receive product out of time or without correspondence with their rotation level.
Excess inventory reduces useful life and increases shrinkage.
Manual tracking increases the risk of errors or regulatory non-compliance.
Predictive planning adjusts daily replenishment according to real sales, avoiding breakages or product accumulation.
AI algorithms define optimal coverage by store and lot, prioritizing the output of the product closest to expire.
Digital traceability automatically records the rotation and origin of each batch, ensuring health compliance.
Sales peaks during holidays or high temperatures are not planned correctly.
Commercial campaigns generate breakages or excess product in the store.
The reduction in demand after campaigns leaves product at risk of expiration.
The seasonal forecast integrates external variables such as weather and calendar, adjusting the forecasts by store and format.
The promotional forecast anticipates the impact of each campaign, synchronizing coverage, space and cold capacity.
AI models recalculate post-campaign coverage and activate automatic redistributions or intelligent discounts.
Expiration dates are not controlled in time, generating waste.
The misuse of cameras or display cases affects quality and reduces durability.
Control differences generate erroneous orders and undetected losses.
The FEFO system automates rotation and prioritizes the dispatch of products with a shorter useful life.
Monitor the temperature and exposure time, generating alerts in the event of deviations.
Synchronization between systems updates the available stock in real time category and lot.
Staff in store places orders without reliable data or without analyzing rotation.
Deliveries do not always align with the real need of the point of sale.
Problems during shipping are not detected until reaching the destination.
Predictive models generate automatic order suggestions based on consumption and ideal coverage per store.
Planning connected to the distributor synchronizes delivery times, routes and product expiration dates.
Real-time monitoring and panels allow temperature deviations or delays to be identified before impacting the sale.
Demand changes by weather, day of the week or location.
Predictive forecast dynamically adjusts coverage according to local sales patterns and climate.
Lack of space limits the assortment and complicates rotation.
AI models optimize the product mix and the use of space according to margin and rotation.
Operational and commercial KPIs are not monitored together.
Dashboards consolidate sales, inventory and freshness metrics, facilitating decisions based on data.
Key indicators that offer a clear vision of the strategic weight that these industries have 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.
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.
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.
Reduce the amount of waste and shrinkage during production processes.
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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