Unlocking the full potential of a warehouse lies in the seamless integration of technology and human expertise. Element Logic’s data-driven platform, eLogiq, enables businesses to transform warehouse operations through predictive analytics, real-time insights, and continuous optimization.

Companies like Aktieselskabet Carl Christensen (CAC) and EET Group have already seen significant value from implementing eLogiq, proving that the right data at the right time can revolutionize warehouse performance. “It is the combination of data insights and the proactive changes made by people that drives value creation with eLogiq”, says Stian Åsen, eLogiq Product Manager at Element Logic.

Driving continuous improvement with eLogiq at CAC

Aktieselskabet Carl Christensen (CAC), a leading distributor of car parts, operates two warehouses with AutoStore systems – one with 128,000 bins and another with 43,000 bins. For CAC, efficiency is key, and their Logistics Manager, Lars Riedel Jørgensen, emphasizes their commitment to ongoing improvement, “Data is the main focus we have right now. The key to doing things better than yesterday.”

Data is the main focus we have right now. The key to doing things better than yesterday.

Lars Riedel Jørgensen, Logistics Manager at CAC

With data at the core of their optimization strategy, CAC uses eLogiq to enhance storage utilization. By analyzing bin usage trends over time, they make informed decisions about increasing capacity or compressing goods. This not only impacts long-term storage planning but also daily operations. It ensures that replenishment happens at the optimal moment, reducing unnecessary handling, and maximizes efficiency.

Another key advantage is error prediction. With eLogiq, Lars does not have to monitor the AutoStore eventlog to predict potential robot failures – eLogiq does it for him! To further enhance this capability, eLogiq leverages machine learning to predict failures before they happen. In another pilot test, eLogiq reduced system stops by 45% in one month, saving 6.3 hours of downtime, a crucial improvement in operational uptime.

CAC is preparing to optimize staffing based on actual workload by considering factors like handling time, preparation rate, and port usage rather than estimates. eLogiq’s Staff Productivity Module offers this and will significantly enhance efficiency and resource allocation.

Identifying productivity bottlenecks at EET Group

For EET Group, one of Europe’s largest distributors of IT equipment, staff productivity was a critical area for improvement. Their logistics processes include necessary but time-consuming tasks such as serial number scanning, relabeling, and repacking. These are activities that impact pick times, and although they were aware of inefficiencies, pinpointing the root causes was a challenge.

That changed with eLogiq’s Staff Productivity Module, which immediately provided EET with surprising and actionable insights. “It was surprising when we saw that the temporary workers are the high performers”, says Niki Vesterlund Nielsen, Head of Logistics Development for EET Group.

This revelation allowed EET’s warehouse managers to refine their training processes, balance workloads more effectively, and focus improvement efforts where they would have the most impact. By addressing staff efficiency bottlenecks, EET can now reduce overall labor costs while maintaining high-quality standards, as well as expecting increased ROI.

Proactive Uptime Management: Preventing issues before they happen

Beyond addressing current inefficiencies, eLogiq also prevents problems before they arise. One of the most valuable features for customers like EET Group is Proactive Uptime Management.

Today, if a robot stops working, warehouse managers receive an email notification. But with predictive analytics, eLogiq can detect early signs of failures and alert the team before a breakdown occurs, allowing them to act in advance and prevent downtime. Niki emphasize, “System uptime is so important that Proactive Uptime Management is interesting even if we don’t have many errors”.

System uptime is so important that Proactive Uptime Management is interesting even if we don’t have many errors.

Niki Vesterlund Nielsen, Head of Logistics Development for EET Group

Additionally, Niki suggested an enhancement – a morning status email summarizing offline robots and their reasons. This insight is now being considered for future eLogiq development, illustrating how customer feedback directly shapes our product evolution and how the product team works closely with customers.

Future Innovations: Smarter port planning for greater efficiency

Element Logic continuously evolves eLogiq to offer even greater automation and data-driven decision making. One upcoming feature in development is Port Planning, which predicts required ports based on tasks and deadlines, filtering results by groups or queues for more precise workforce and workflow management. Transforming insights into tangible financial and operational gains is exactly the kind of ROI-driven innovation eLogiq is designed to deliver.

When presented with this concept, Niki’s response was immediate: “If you can get that working, it’s worth a lot of money!”

Key results from eLogiq implementation

eLogiq is already proving its value in warehouses across industries, offering real business benefits.

• Storage optimization: CAC leverages eLogiq to analyze bin usage and improve capacity planning.
• 45% Reduction in downtime: Machine learning-powered failure prediction saved 6.3 hours of system stops in a pilot test.
• Staff productivity insights: EET Group identified inefficiencies and optimized workforce allocation.
• Proactive Uptime Management: Predicting failures before they happen ensures smooth operations.
• Future-proofing warehouses: Innovations like Port Planning promise even greater ROI.

Element Logic remains committed to maximizing warehouse success through progressive technology, predictive analytics, and customer-driven innovation. As we continue to refine and expand eLogiq, our goal remains clear: helping our customers achieve smarter, self-run, and data-driven warehouses.