Variability in the demand for spare parts
Critical pieces present regional and seasonal peaks that are difficult to predict.
Regional forecasting adapts forecasts by area and channel, reducing volatility and improving accuracy.
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Distribution companies in the automotive sector manage a large volume of parts, components and accessories, with a high diversity of references and highly variable demand. The pressure to meet tight deadlines, avoid breakage, and reduce tied up capital requires full visibility and advance planning.
Distributors manage large warehouse networks with disconnected data, causing replenishment errors and reactive decisions.
Changes in the market, promotions or part substitutions affect the demand forecast, generating excess or shortage of stock.
Without precise segmentation, resources are allocated homogeneously, affecting the availability of strategic pieces.
A unified platform centralizes inventory, orders and sales in real time, offering global visibility on the availability and rotation of each reference.
Algorithms adjust forecasts continuously, incorporating historical patterns and external data to anticipate changes and maintain a stable flow.
ABC-XYZ segmentation identifies key components by value and rotation, assigning automatic stock and replenishment priorities.
Distributors accumulate inventory for fear of breakage, blocking capital and warehouse space.
The pieces with the lowest output remain in the warehouse for months without movement.
Obsolete or low-contributing products are not easily identified.
Predictive planning adjusts coverage based on volatility and risk, balancing service with financial cost.
The system recommends differentiated replenishment policies, reducing automatic orders and redistributing stock according to rotation and area.
The rotation and overstock reports prioritize corrective actions, allowing you to free up space and reduce storage costs.
The lack of synchronization between forecast, purchases and transportation generates ruptures or logistical overruns.
Any change in the chain generates emergencies or manual reprogramming.
Manual tracking causes errors and lack of control over actual availability.
Detect excess in units and import to prioritize corrective actions.
Exclude expired batches from planning to avoid unnecessary purchases and losses.
Reassign alternative uses and avoid waste, optimizing the use of resources.
Incomplete or late deliveries deteriorate the relationship with manufacturers and workshops.
The lack of foresight generates fragmented or urgent shipments that make the operation more expensive.
Operational decisions are made without a clear view of the contribution of each channel.
Predictive forecasting prioritizes critical references and adjusts replenishment according to actual demand, guaranteeing a stable OTIF.
Consolidated planning groups orders and optimizes routes according to priority, weight and availability, reducing costs and emissions.
Integrated control panels allow you to analyze profitability by client, region or product, facilitating data-based decision making.
Critical pieces present regional and seasonal peaks that are difficult to predict.
Regional forecasting adapts forecasts by area and channel, reducing volatility and improving accuracy.
Manual adjustments for delays or breakages increase service times.
Dynamic replanning automates adjustments to incidents, maintaining operational continuity without affecting the client.
Returns or replacements are not properly integrated into the forecast.
Predictive planning considers returns and replacements as signals of real demand, improving overall accuracy.
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.
"We have managed to reduce the average DOT from 12 days to 7 and today we remove 80% of the lines from our warehouse." Inazio Elorza, Supply Supply Chain Manager at Elesa + Ganter Ibérica
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 shipping times, maximizing efficiency and reducing costs.
Take advantage of the available space in each shipment, minimizing transportation costs.
Decrease the amount of products stored, reducing costs and increasing profitability.
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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