One of the key points inside supply chain is knowing what happens inside your warehouses. Many companies take business decisions based on intuition, experience and spreadsheets, while at the same time technology evolves by leaps and bounds.
Dashboards, the fundamental pillar of Business Intelligence, have improved a lot during this last few years. Tools like PowerBI, Google Data Studio, Tableau, AWS QuickSight, Kibana o QlikView offer more and more possibilities each day, including visualization improvements, data connectors and integration with Machine Learning frameworks. However, the difficulty to build useful dashboards lies at the gap between business knowledge, in this case logistics one, and tech knowledge.
Nowadays, some WMS already offer the possibility to obtain business metrics or KPIs through themselves, either being Cloud or In-house based. Nevertheless, these tend to be highly restrictive and rarely bring useful value to the business, due to their product’s focus is at warehouse management and not at data processing, treatment and visualization.
As we have stated before, current market BI tools are more and more powerful, but the problem lies at obtaining the key business metrics through these tools with existing WMS data, together with external sources. This is due to warehouses have different types of operational behaviors together with also different data structures, capabilities and KPIs. Additionally, data processing and analysis allows companies to discover and unlock new KPIs that were hidden before.
This type of problems are what Hedyla helps companies to solve with its BI reporting, removing integration problems with WMS and bringing real value to logistics data analysis. And all of this, available on our cloud platform that allows retailers and logistic operators to apply Artificial Intelligence models for different use cases, both in warehouse and distribution.
In our next blog, we’ll write about different use cases that are able to discover and obtain through BI reporting with WMSs.
Co-founder at Hedyla
Software Engineer with strong experience in projects for logistics and travel companies. Researcher in Computer Science and Machine Learning.
His passion is found at the intersection between computer science and maths, aiming to apply data processing techniques and machine learning models to industry.