• Analyses and optimizations for logistics and manufacturing

Logistics Optimization

Predict buying behavior for more precise planning.

Logistics Optimization

Logistics, sales planning, and disposition are fundamental for success in retail and e-commerce. A frictionless supply chain guarantees increased customer satisfaction. However, logistics optimization and associated processes such as staff planning in logistics or process optimization are highly complex issues, which may be challenging to many retail or e-commerce companies. We know these challenges and support your success.

Thanks to our longstanding business experience and expertise in IT, Data Science, and process optimization for retail and e-commerce, we develop a solution that perfectly meets your demands. For more satisfied customers and sustainable business success.

Your Advantages

  • Demand-based Prognosis

    Patter and behavioral recognition of contexts in historic transaction data.

    You always know what your customers want and plan predictively.

  • Logistics Optimization

    Optimization and control of logistic processes and service providers.

    Avoid overstocking and supply shortages.

  • Automatic Disposition

    Process optimization and automation of logistics

    Holistic optimization of your supply chain

  • Customer satisfaction and sustainable succes

    Plan your retail or e-commerce business. All according to your customer’s needs.

    Increased customer lifetime and satisfaction.

  • Automated Sales Planning

    Customer-oriented increase of products and services

Niologic is you partner for logistics optimization

For increased customer satisfaction and sustainable business success

+49 (0)2233 61 989 – 0

Niologic is you partner for logistics optimization

For increased customer satisfaction and sustainable business success

Call us

Sales Planning and Automatized Disposition

Sales planning and disposition is an important tool for many companies, service providers as well as retail and e-commerce businesses. Nonetheless, these processes may be challenging. Insufficient product stocks or capacities may for example lead to losing customers to competitors. On the other hand, overstocking increases the depreciation of unsold articles. The goal is to calculate quantities according to demand considering previously defined Key Performance Indicators (KPI) and use them in automatized prognoses. The automatic disposition, as a part of logistics optimization, optimizes all processes of logistics and supply chain.

This way, we can for example predict the sales volume of individual stores and production sites with a self-learning system of automatic disposition. With Predictive Analytics we optimize the availability of products. This helps you to avoid empty shelves or oversupply. In addition, we consider factors such as trends in demand, marketing strategies, weekdays, and the weather of the next days. This enables you to plan business decisions flexibly according to the latest trends.

Demand-based Prognoses

Demand-based prognoses are a helpful tool as part of process automation in logistics. With the help of algorithms, we analyze external parameters and internal customer and transaction data. As a result, you will receive an extensive sales prognosis. For automatic disposition, we process large datasets In-Memory, to identify the behavioral patterns of your customers. With Big Data we derive valuable predictions.

For a 360° view of all processes, we combine our algorithmic solutions for logistics optimization with your existing analytics solutions. The software used for prognoses is implemented as service-oriented architecture (SOA), so it can easily be integrated into existing processes. With this process optimization separated processes can be linked for automatic disposition.

Case Study: +20% throughput in an e-commerce warehouse

Continue reading to find out how we helped an e-commerce company to increase their throughput in logistics. The challenge was to coordinate multiple robotic subsystems. With simulations, we were able to guarantee investment security with further components.

As a result, the throughput was increased multiple times iteratively with the same industrial manufacturing equipment and hardware. Moreover, the number of manual interventions and personnel costs could be reduced drastically.

More solutions for retail and e-commerce