Transport and Logistics Blog | Third Party Logistics

Optimize order picking with efficient logistics

Written by Solistica | Apr 22, 2025 5:06:08 PM

What distinguishes leading logistics companies from their competitors? The answer often lies in the invisible but critical order picking phase. This activity, which consumes between 45% and 75% of a warehouse's operational resources, is the critical link between the commercial promise and the customer experience. Today, optimizing this process is a strategic necessity for business survival.

 

What is order picking and why is it so important?

Order picking, also known as order preparation, is the process of picking and grouping small loads to form an order. As a fundamental element in the logistics chain, its correct development determines operational efficiency, customer experience and business profitability.

In recent years, the importance of this process has multiplied exponentially due to the increase in e-commerce and the greater demands of consumers with respect to tighter delivery times. If order preparation is carried out efficiently, it reduces time and costs, which has a positive impact on delivery times and customer satisfaction.

According to data from the National Markets and Competition Commission (CNMC), in the third quarter of 2020, 258.9 million transactions took place in Spain through e-commerce, moving 12.8 billion euros. This growing trend underscores the need for increasingly efficient order preparation systems. (Blog - Toyota)

 

Technological evolution in order picking

Order picking has evolved greatly thanks to the integration of advanced technologies. Traditional manual picking methods have given way to automated systems that optimize every phase of the process, from the initial planning of picking routes to the final order verification.

The implementation of Warehouse Management Systems (WMS) and automatic recognition technologies has revolutionized the way orders are picked. These advances allow complete traceability of the process, significantly reducing human error and optimizing picking times.

The adoption of these technologies has created a critical differentiator for business success. Companies like Solistica have developed end-to-end solutions that transform order picking by integrating advanced technology and efficient methods. (Blog - Solistica)

 

Key steps in efficient order picking

To optimize the picking process, it is essential to understand and properly manage its four main steps:

  1. Pre-planning

In this phase, the necessary resources (material and human) are assigned to each preparation process. If a Warehouse Management System (WMS) is available, this phase is carried out in a more agile and efficient way, since the software automatically identifies the optimal solution.

  1. Path design

The routes within the warehouse involve time and energy, so the layout design is of utmost importance. Depending on the type of picking selected (by batches, by waves or by zones), specific routes will be established to minimize trips and optimize time.

  1. Extraction

Product collection requires specific treatment depending on its location: ground level, low level, medium level (less than 4 meters) or high level (more than 4 meters). Having the right equipment for each situation is essential to maintain efficiency.

  1. Verification

It is essential to perform a thorough check of the units that make up the order and verify that the total weight matches the established specifications, thus ensuring accuracy prior to shipment. (Blog - Ar Racking)

 

Order picking methods to maximize efficiency.

There are several methods of order picking, each adapted to different operational needs:

According to the direction of the goods:

  • Man-Product: The worker goes around the warehouse to pick the products. Although it involves a low initial investment, it can be more time-consuming.
  • Product-to-man: The merchandise reaches the operator, generally by means of automated systems. Although it requires a higher investment, it is ideal for warehouses with a high volume of orders.

Depending on the pick-up:

  • Order to order: Basic method where each operator prepares only one order at a time.
  • Order waves: Goods are picked for several orders simultaneously, ideal for many references in small orders.
  • By zones: Phases are organized considering the location of the goods in the warehouse.

The choice of the appropriate method will depend on the type of warehouse, the volume of orders and the nature of the products. Solistica offers specialized consulting to determine the system best suited to the specific needs of each company. (Blog - MRPeasy)

Advanced technology for order picking

The implementation of appropriate technology is indispensable to optimize order picking. Among the most effective solutions are

  • Warehouse Management Systems (WMS)

The software that manages warehouse processes and activity at every logistical stage: receiving, storage, picking and shipping. A robust WMS enables optimal picking routes to be planned and provides real-time visibility of inventory.

  • Automatic recognition technologies
  • Pick-to-light: Systems that use LED lights to guide operators to the correct locations.
  • Voice picking: Technology that allows the operator to receive instructions by voice, keeping hands and eyes free.
  • Barcode scanning: Improves accuracy and provides real-time traceability.
  1. Advanced automation
  • AGV (Automatic Guided Vehicle): Driverless forklifts that speed up the process.
  • Automated structures: Automatic cabinets that facilitate product scanning.
  • Automated rails: Systems that transport goods between different areas.

Solistica has developed a technology platform that revolutionizes traditional warehousing through intelligent allocation of goods, facilitating more efficient and cost-effective distribution, ensuring optimal use of assets and automatic inventory replenishment. (Blog - Solistica)

 

Key indicators to measure picking efficiency.

To control and continuously improve the picking process, it is essential to monitor the following KPIs:

  • Picking accuracy: Percentage of correctly picked orders out of the total.
  • Preparation time or units per hour (UPH): Measures the average preparation speed.
  • Cost per preparation: Calculates the average cost associated with each order prepared.

These indicators allow identifying areas for improvement, detecting inefficiencies and making informed decisions to continuously optimize the process. (Blog - MRPeasy)


Solistica: Transforming Order Picking with Logistics Innovation

With more than two decades of experience in handling consumer goods, Solistica has developed a comprehensive system that revolutionizes order picking. Its intuitive interface platform provides real-time visibility of orders and inventory, enabling precise control of fulfillment processes and efficient inventory synchronization.

Solistica integrates:

  • Advanced technology: Platforms that optimize the supply chain with intelligent allocation of goods, constant monitoring and optimization algorithms.
  • Automated maquilas: With state-of-the-art technology that optimizes production processes.
  • Proactive operations management: Anticipating possible setbacks and ensuring continuity of service.
  • Integrated B2B distribution: Connecting manufacturers and points of sale seamlessly.
  • Customized projects: Tailored to the specific needs of each customer.

This customization capability, combined with its experience in various sectors, positions Solistica as an invaluable strategic partner for companies seeking to optimize their logistics. (Blog - Solistica)

 

Looking to the future of order picking.

The logistics industry continues to evolve, and Solistica maintains its leadership position in this transformation. Its commitment to innovation and operational optimization ensures that customers receive world-class 3PL (Third-Party Logistics) services tailored to the changing demands of today's and tomorrow's markets. (Web - Solistica)

Discover how our services can optimize your operations, reduce costs and improve customer satisfaction.