Logistics & Distribution

Transparent End-to-End Solutions

Top Logistics and Distribution Data Challenges

  • Fuel costs
  • Business Process Improvement
  • Improved Customer Service
  • Driver shortage and retention
  • Government regulations
  • Environmental issues
  • Technology strategy

Sound Familiar?

  • “How do we provide our customers with full transparency into their delivery at all times?”
  • “We understand the benefits brought by technology, but how do we pay for it and who will implement the improvements?”
  • “It’s an increasing challenge for us to stay on top of new advances in business processes”.

Introducing CALI: Cloud Analytics for the Logistics Industry

DSCallards delivers full transparency with CALI.

CALI is an efficient, cost-effective solution for businesses to gather real-time insights into their logistic and distribution services. Optimise routes for efficiency and cut costs with CALI, an end-to-end cloud solution for logistics and distribution companies. Get real-time visibility into your business through a series of pre-built dashboard data visualisations with drill-down reports showing the detail behind the KPI values.

DSCallards combines our deep understanding of the logistics industry with SAP Analytics Cloud technology and CALI’s powerful digital assets. As a result, businesses benefit from innovative business intelligence and collaborative planning tools.

Explore CALI

Logistics & Distribution

Frequently Asked Questions

How is analytics used in logistics?

In this day and age, modern data analytics plays a crucial role in logistics and distribution. Data analytics allows businesses to generate more accurate forecasts when it comes to supply and demand, which informs inventory as well as planning when it comes to shipments. This kind of informed, data-driven decision-making can reduce waste and improve delivery times. By utilising modern analytical processes, businesses can better coordinate supply chains and other important components within the logistics sector. Doing so ensures smooth and efficient operations in a timely, cost-effective manner which can improve productivity and profitability.

Since 2001, the team at DSCallards have helped large and local organisations alike get the most out of their data. For more information about using data analytics in the logistics and distribution sector, get in touch with us today.

What is cloud computing in logistics?

In simple terms, cloud computing is the delivery of computing services over the internet. In logistics and distribution, cloud computing allows large and small businesses operating within the sector to collect and share data wirelessly from any location, across the globe. As you can imagine, cloud computing has been a godsend for the industry, and has played an important role in catalysing digital transformation in the sector – especially when it comes to data analytics.

For more information about using cloud computing and data analytics in the logistics and distribution sector, get in touch with the team at DSCallards today.

How does cloud computing help in logistics?

The cloud has made it easier for the logistics and distribution sector to get a handle on its operations and improve performance. Cloud computing optimises supply chains and streamlines services by providing solutions for the supply chain network from any location, which can result in a number of operational and financial benefits.

What is predictive analytics in logistics?

In logistics, predictive analytics allows businesses to collect and analyse important data and information from crucial points within supply chains, for the purpose of generating accurate forecasts that can inform future operations. By making informed, data-driven decisions, businesses and organisations can alter specific aspects of their operations that aren’t working and in doing so, maximise productivity, efficiency and continuity.

Still confused? Don’t fret! You’re not the only one. At DSCallards, we’ve been helping businesses unearth the power of insight for more than twenty years. For more information about data analytics in the logistics and distribution sector, get in touch with our team today.

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