Prioritizing hyperautomation will be a major differentiator for organizations – big or small – from any industry, as organizations that embrace Hyperautomation solutions will be better positioned to compete in the digital economy, improve customer experiences, and increase efficiency and productivity.
Additionally, the logistics and supply chain sector is expected to fully adopt the hyperautomation ecosystem in 3 years. The automotive and energy will transition to hyperautomation processes in about 3-5 years.
In this article, we will discuss the logistics industry’s adoption of hyperautomation solutions and key use cases that have yielded successful results.
What is hyperautomation?
Firstly, let’s define the term in questions. Hyperautomation is a buzzword in the business world that refers to the use of advanced technologies like Artificial Intelligence (AI), Robotic Process Automation (RPA), and Machine Learning (ML) to automate complex business processes.
It is a next-level automation approach that goes beyond traditional automation techniques. Hyperautomation has become increasingly popular as companies strive to stay competitive in a digital economy.
If you would like a more thorough and holistic insight into hyperautomation and the future of business, our experts have assembled a report covering its implementation in logistics, as well as in aerospace, automotive, high-tech, and energy sectors. Read the full report here.
Logistics and Hyperautomation:
The logistics industry encompasses all activities involved in moving goods from the point of origin to the point of consumption. It is a highly competitive sector where efficiency, accuracy, and timely delivery are critical for success.
Hyperautomation has emerged as a game-changer in the logistics sector, potentially reducing manual work, minimizing human errors, and improving productivity. Reverse logistics is an area that can benefit significantly from automation solutions.
Use Cases of Hyperautomation in the Logistics Industry:
In the following sections, we will take a look at four use cases of hyperautomation in logistics, including:
- Warehouse management
- Inventory management
- Pricing forecast
- Customer service.
Through these use cases, we will see how logistics companies can benefit from hyperautomation and improve their operations.
Use Case 1: Warehouse management
Inter Aduaneira, a trade consultancy company, had difficulty managing its warehouse inventory, resulting in high levels of manual work and risks of human error. By implementing an RPA solution, the shipment tracking process was automated, which reduced response time by up to 80%. As a result, the company was able to save 800 hours per analyst.
The company’s annual revenue increased to $56 million, proving that hyperautomation can yield successful results for small and medium-sized businesses.
Use Case 2: Inventory management
Schnellecke Logistics is a company that provides logistics services specifically for the automotive industry. They recently implemented an RPA solution to automate their invoice checking process, which previously took up a lot of time.
The RPA solution has helped them save over 12,000 hours per year that were previously spent on manual work. In just one process, they’re able to save 60 minutes each day. The company automated 80 processes in 38 areas and six regions, which has led to greater productivity and operational efficiency.
Use Case 3: Pricing forecast
Logistics operations require frequent updates and real-time data analysis for pricing forecasts. To achieve this, logistics companies can use an RPA solution. The RPA solution can analyze data from multiple sources such as competitors’ pricing, supply and demand patterns, and customer preferences. The data analysis generates accurate pricing forecasts, enabling logistics companies to stay competitive in a rapidly changing market and improve customer satisfaction by offering competitive pricing.
Use Case 4: Customer service
Customer service is a critical aspect of logistics operations, and automation can improve the overall customer experience. An RPA solution can provide customers with real-time shipment tracking, automated delivery notifications, and quick response to inquiries, resulting in improved customer satisfaction.
What are some common challenges in implementing hyperautomation solutions?
Hyperautomation can bring significant benefits to businesses, however its implementation can come with some challenges. Here are some common issues organizations may face when implementing automation solutions.
- Lack of clear understanding: Organizations may struggle to understand the various automation technologies and how they can be effectively integrated to achieve hyperautomation.
- Legacy systems: Existing legacy systems may not be compatible with newer technologies, making integration difficult and time-consuming.
- Data quality: Hyperautomation relies heavily on data, and poor data quality can lead to inaccurate insights and outcomes.
- Resistance to change: Employees may resist the adoption of hyperautomation due to fear of job displacement or lack of technical skills.
- Implementation cost: Implementing hyperautomation solutions can be expensive, and organizations may need to invest in new infrastructure or hire external experts to implement and manage the solutions.
It’s essential to address these challenges proactively to ensure successful hyperautomation implementation.
Organizations can work to improve data quality, provide employee training and support, and allocate sufficient resources to the implementation process.
Conclusion:
Hyperautomation solutions have emerged as a critical strategy for logistics companies to remain competitive in a constantly evolving market. The implementation of RPA solutions can improve warehouse and inventory management, pricing forecast, and customer service, resulting in increased efficiency and productivity.
The logistics industry’s uncomplicated adoption of hyperautomation solutions and key use cases’ success stories emphasize the potential of automation to transform business operations.
Dive deeper into the potential of hyperautomation and its impact on these industries by downloading our full report.
