Let your data set the course and anticipate future opportunities with intelligent deep analytics

Clear data driven suggestion - Improve a company's total performance
Ensure detailed quality control - optimise asset use - improve financial return

Scroll to learn more

Optimise a supply chain through predictive behaviours and prescriptive suggestions.

In addition to real-time monitoring and reporting, deep analytics provides the opportunity to understand patterns and trends to forecast future outcomes.

 

Our deep analytics system goes beyond leveraging the collected data, such as temperature fluctuation for example, to anticipate and optimise future performance. It also suggests solutions on how to take advantage of a future opportunity or mitigate a future risk, demonstrating the implications of each decision option.

Optimise

 

Make analytically driven decisions knowing the implication of each outcome.

All active trackers are currently
collecting data

Operational data collection

Record more.
Do more.

When it comes to logistics operations, more questions can be asked and, most importantly, more questions can be answered by means of employing all possible data collection opportunities. Deeper analysis, provides a separate repository of collected data, specifically designed around a specific logistics operation. This repository allows for deeper querying of huge amounts of data which would otherwise be unachievable, especially if only real-time monitoring was used.

Predict and prescribe

Know what’s around the corner by anticipating future opportunities and mitigating risk.

Collecting data and metrics facilitates a better understanding of current operations. Data can be combined and analysed to identify patterns, trends, co-relationships and influential outliers. In this context, predictive models that make use of patterns drawing on collected data are created to identify risks and opportunities.

Predictive models identify relationships among several factors in order to facilitate risk or opportunity assessment with regard to a particular set of conditions, thus assisting the decision-making process.

Predict

Deep analytics will not only anticipate but also suggest decision options on future opportunities, demonstrating the implications of each option.
 

 

Understand patterns of temperature changes for sensitive pharmaceutical productsRepeating shock or vibration events highlight unsuitable logistic routes for goods that are sensitive to rough handlingWeight change shows possible movement on the rail car (possible load of no approved cargo or part removal of cargo)Reoccurring long periods of dwell time indicate inefficient routes or logistics companyUnderstand patterns of temperature changes for humidity sensitive productsKnowing an assets location optimises its management, reducing fuel consumption, CO2 emissions and idle timesTilt detection highlights unsuitable routes for cargo sensitive to rough handling Frequent tampering of goods containers in particular locations highlight the need for a new routeViewing current road conditions allows for efficient route planning, reducing frequent delays

 

Personalised performance

Customised to every operation, analytics allows for purposeful and personalised improvements.

The variety of goods requires different handling methods during their transport. For example, pharmaceutical and edible goods are highly temperature-sensitive whereas scientific machinery may be very sensitive to handling. Keeping this in mind, we personalise the collection and analysis of data aiming to render the optimal outcome.

We don't start with finding an answer. We start by asking the right questions. Let us know if you have a question or a project that requires a solution.

Contact us

© Copyright 2019 PEOPLE, All rights reserved

Cookies Policy|Terms and Services

facebooktwitterlinkedininstagram