Forecasts & Procurement: Optimal inventory management with REMIRA

A specialized software solution forms the foundation for modern and efficient inventory management. By utilizing advanced algorithms and artificial intelligence, it not only provides precise sales forecasts but also optimizes inventory planning decisions based on a variety of factors, such as historical sales figures, seasonal fluctuations, and current market trends or sudden changes.

The REMIRA software also offers these features. In addition, our ISO/IEC 27001-certified inventory management software automates recurring tasks, such as routine orders for C-items, thereby freeing up valuable work time. This time can now be used for strategic planning or supplier management instead of for manually entering and analyzing data.

This paradigm shift toward automated and data-driven replenishment not only enables a significant increase in efficiency but also helps strengthen the company’s resilience in the face of market uncertainties. In an era where rapid adaptability and precise planning are crucial, intelligent inventory management software proves to be an indispensable tool for any forward-thinking company.

AI Sales Forecast

The prerequisite for optimal replenishment is a sales or consumption forecast that is as accurate as possible. The quality of the forecast significantly influences the replenishment decision and therefore the flow of goods and materials. Our software calculates the forecasts on the basis of AI-supported algorithms developed over many years. This reduces unnecessary costs due to overstocking or out-of-stock situations and the number of write-offs. Daily, weekly and monthly requirements can be combined.

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Automatic Replenishment

Automatic scheduling helps you to automate your processes as far as possible. This is exactly where our software comes in, offering automatic order proposals, combined scheduling and a clear presentation of all relevant data. In this way, we help you to reduce your stocks and increase your delivery capacity at the same time. At the same time, by taking over routine tasks, the quality of work increases and your employees can concentrate on value-adding tasks.

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Procurement Software

REMIRA procurement software automates purchasing processes, relieves dispatchers by automating manual tasks and offers clear control of all procurement processes thanks to integrated AI and seamless ERP connection. Our software provides a structured overview and simple control of procurement processes, ensures a reliable supply, minimizes storage costs and avoids out-of-stock situations .

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Goods Receipt Planning

Optimize your goods receipt process by using our software to you achieve precise timing at goods receipt. Bottlenecks and congestion at the loading ramps are prevented by efficiently timing deliveries and automatically postponed dates in the event of capacity bottlenecks. This enables stress-free loading and unloading as well as optimum capacity utilization in the incoming goods area. The result is up to 40% better utilization at the rampand up to 75% less waiting time in front of your warehouse.

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Inventory Management

Our inventory management software helps you to achieve the optimum balance between high delivery capability and low stock levels. Based on historical data, REMIRA inventory management software optimizes your warehouse with automatic forecasts and orders. This leads to efficient inventory management, reduced storage costs, increased logistical efficiency and increased customer satisfaction.

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Supplier Collaboration

REMIRA supplier collaboration enables you to seamlessly exchange data and communicate with all suppliers in real time. Whether via EDI systems or alternatives, our software for supplier collaboration optimizes collaboration with partners and ensures transparency and efficiency along the supply chain. The software is easily connected to your ERP system via an interface.

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"The massive time saved by LOGOMATE gives us a huge efficiency gain. The order suggestions are checked by the employees, and adjustments to the suggestions are rarely necessary: in the dry goods range, the employees approve 97% of LOGOMATE's order suggestions without making any changes, and in the fresh goods range the figure is around 92%."

Matthias Lindner

Deputy Head of Logistics at Alnatura

"Nowadays, replenishment takes between ten minutes and two hours, depending on the supplier and the order items. Previously, the process could take up to six hours. This saves us a lot of time every day, which our employees can use for other tasks."

Carsten Heider

Purchasing Manager at DELTA-V

"We wanted a program that would relieve our employees of time-consuming tasks, manage our inventories more efficiently and improve our ability to deliver. We found this solution with LOGOMATE. We now have better availability of goods with lower stock levels, and the work processes have also improved noticeably for everyone involved."

Eike Seulen

Head of Purchasing & Product Management at DURAL

"LOGOMATE supports us in planning and controlling the flow of goods from the import warehouse to various regional warehouses and group warehouses to the individual stores. Only by using the software solution is it possible for this demanding task to be carried out by 15 employees. In addition to the 'normal' replenishment of goods, LOGOMATE also helps with the distribution of large purchasing quantities of individual items to the stores. This means that goods are always distributed according to demand and the flow of goods is optimally controlled."

Daniel Reimann

Head of Disposition at POCO

"We wanted to map the VMI process to the complete satisfaction of our customers and jointly tap into efficiency potential. The tool required for this should require as little effort as possible with maximum flexibility. We have achieved this with REMIRA LOGOMATE."

Rudolf Kaiser

Director B2B Process Management at viega

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Food &
Beverages

Software for the food industry:

IBP
Forecast
Replenishment
Stocktaking

Learn more

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Automotive
Spare Parts

Software for automotive spare parts:

Forecast
Replenishment
S&OP
Stocktaking

Learn more

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Retail

Software for the retail industry:

IBP and S&OP
Forecasting
Replenishment
Stocktaking
Omnichannel Commerce
Supplier Collaboration
Order Management

Learn more

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Wholesale

Software for the wholesale industry:

IBP and S&OP
Forecasting
Replenishemnt
Stocktaking
Omnichannel Commerce
Supplier Management
Order Management

Learn more

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Furniture &
Decoration

Software for furniture & decoration:

Forecast
Replenishment
Stocktaking
Onmichannel Commerce
Order Management

Learn more

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Building materials &
DIY

Software for building materials & DIY:

Forecast
Replenishment
Stocktaking
Omnichannel Commerce
Supplier Collaboration
Order Management

Learn more

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Sports &
Games

Software for sports & games:

S&OP
Sales Forecast
Procurement
Inventory
Omnichannel Commerce
Supplier Management
Order Management

Learn more

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Electronics

Software for electronics:

IBP and S&OP
Forecast
Replenishment
Stocktaking
Omnichannel Commerce
Supplier Collaboration
Order Management

Learn more

FAQ Forecast & Replenishment Software

A specialized software solution generates sales forecasts based on historical sales data, seasonal trends, and external factors. With the help of AI-powered models, demand trends can thus be reliably predicted. This enables purchasing and replenishment managers to better plan demand, optimize inventory, and avoid supply bottlenecks. Sales forecasts improve planning in procurement and reduce costs as well as the workload in replenishment.

REMIRA Software is specifically designed for procurement planning in the B2B sector. It offers automatic order suggestions, precise, AI-based demand forecasts, and complete transparency across the entire warehouse and store network. Companies can thus reduce excess inventory, improve delivery capabilities, and save time in replenishment.

AI-based inventory management software supports both centralized and decentralized planning, accounts for transfers between warehouses, and optimizes inventory across locations. It ensures that the right inventory is always in the right place throughout the entire warehouse network to optimally meet demand. Two- or three-level replenishment and multi-echelon optimization enable optimal distribution of goods throughout the entire warehouse or store network.

Thanks to straightforward integration via interfaces, modern sales forecasting and procurement software, such as that offered by REMIRA, integrates seamlessly and effortlessly into existing ERP and merchandise management systems. This allows master data, ordering processes, and inventory levels to be synchronized automatically. This enables end-to-end digital processes without duplicate data entry and ensures high data quality.

The implementation of a software solution follows clearly defined steps: analysis of your processes and data, configuration and integration into your systems, training of your teams, and go-live support. The implementation duration depends on the size of the company and its internal processes. REMIRA has over 30 years of experience in developing and implementing software solutions. As a result, companies can often start working productively with the intelligent software solutions within a few weeks without disrupting their day-to-day operations.

Yes, modern inventory management software is also available in a cloud-ready version. REMIRA also offers a cloud solution for procurement optimization. It enables location-independent access, automatic updates, and high data security. The dashboard is device-independent and offers high flexibility in customization. REMIRA also offers custom integration options to optimally support each company’s IT strategy.

The cost depends on the feature set, company size, and specific requirements. REMIRA offers flexible licensing models and subscriptions tailored to customer needs. Customized and transparent quotes demonstrate how the investment quickly pays for itself through reduced inventory costs and improved processes.

Specialized software solutions for procurement and inventory management analyze stock levels, sales data, and delivery times to generate accurate demand forecasts. Based on this, automatic order proposals are generated. This allows procurement managers to order exactly the right quantities at the right time, avoid bottlenecks, and reduce capital tied up in inventory. Replenishment staff save time and can make better decisions thanks to intelligent analyses and clear recommendations for action. Clear dashboards and daily reports ensure high transparency and simple, digital communication within the company.

An ERP system works only with static parameters and offers correspondingly few to no automation options. AI-based inventory management software, on the other hand, calculates dynamic safety stock levels, provides automatic order suggestions, handles routine tasks, performs ABC-XYZ analyses, and accesses sales history and inventory trends.

External factors such as weather, demand spikes, supplier terms, promotions, etc., are incorporated into the planning. The inventory management software thus enables up-to-date sales forecasts adapted to the market at all times, along with corresponding order recommendations. Seasonal trends are automatically determined by the system and taken into account in both the sales forecast and the automatically generated order recommendation.

Intelligent software for procurement and inventory management is a must-have today for retail, manufacturing, and wholesale companies of all sizes that want to manage inventory and optimize or automate their procurement. Companies with complex supply chains, multiple warehouse locations, and a broad product range benefit particularly from specialized solutions for inventory management and procurement—especially in the food, automotive, fashion, manufacturing, and electronics industries.

If a primary supplier (e.g., Supplier 1) is unable to deliver, a proposal to procure from an alternative supplier (e.g., Supplier 2) is automatically generated as part of the process to determine the optimal replenishment strategy. Alternative suppliers are systematically considered and evaluated based on relevant purchasing and logistics parameters. These include, in particular:

Replenishment time (lead time) to ensure timely availability of goods
Purchasing terms such as prices, minimum order quantities, and discounts
Packaging units and lot sizes to determine economically viable order quantities

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In general, we are open to all technologies. Depending on the ERP system, the connection can be established, for example, via APIs, standardized interfaces, file imports/exports, or other established integration mechanisms.

With newly launched items, a common challenge is that no historical sales data is available to initially determine the correct order quantity. In particular, if an item sells out immediately after being listed, traditional replenishment logic is only of limited use. This challenge can be successfully addressed by using referencing or predecessor rules. In this process, a new item is first linked to comparable items (e.g., similar product group, price level, lifecycle, or sales behavior). An initial starting quantity (initial replenishment) is derived based on these references. As soon as the item is launched and initial sales data is available, a dynamic forecast calculation is performed based on current sales. The system continuously adjusts the sales forecast and derives appropriate subsequent order quantities from it. In this way, the transition from reference-based replenishment to data-based replenishment is automatically managed.

Within a multi-tiered warehouse structure, targeted transfers are suggested between the satellite warehouse and the main warehouse, as well as from the central warehouse to the stores, in order to optimize product availability and reduce transportation and storage costs.

A certain baseline quality of the data is absolutely essential for the effective use of AI. Only when master data, transaction data, and structural data are consistent and accurate can valid forecasts and reliable recommendations for action be generated. At the same time, however, artificial intelligence can also make an important contribution to improving data quality. Based on patterns, plausibility checks, and anomaly detection, AI is capable of identifying fundamental data errors such as outliers, inconsistent time series, incorrect parameters, or illogical relationships. These anomalies can be flagged for the user so that they can be specifically reviewed and corrected.