While demand is always stronger and more unpredictable, the supply chain is confronted with very rapid flow variations, on the side of customers and suppliers alike. To meet this challenge, the exploitation of data and the creation of dynamic dashboards have become essential.
Supply chain / Transport
DASHBOARDS FOR THE
SUPPLY CHAIN AND TRANSPORT
MAXIMISE THE PRODUCTIVITY
One of the big ideas of the digital revolution is to combine current production systems with Big Data and connected objects. With BI, the production manager has real-time information allowing him to analyse, anticipate and decide on the adjustments to be made to the production tool.
OPTIMIZING THE PERFORMANCE OF THE SUPPLY CHAIN
Boost your supply chain efficiency with DigDash Enterprise! Our solution finally allows you to simply analyze all your data: volume, replenishment, purchases, transport, constraints… A strategic asset for controlling costs and deadlines in real time.
DETECT ANOMALY QUICKLY
To sustainably improve supply chain performance, it is essential to detect anomalies more effectively, but also to diagnose them immediately. Big Data, combined with the IoT (Internet of Things), makes it possible to instantly identify defective products and isolate them.
But detecting anomalies is not enough: it is now possible to predict them before they even occur.
INNOVATING WITH PREDICTIVE MAINTENANCE
Predictive maintenance consists in analyzing in real time the data resulting from the operation of equipment to determine at what precise moment its next maintenance should take place. To do this, sensors and various connected objects are used throughout the supply chain. Any faults or breakdowns can therefore be avoided before it is too late.
It is also about making this data more contextual, so that the maintenance technician of a site has access to the data of the equipment located right in front of him, and thus facilitate his decision-making.
ANTICIPER LA DEMANDE
À partir de l’analyse des KPI de la supply chain, les besoins des clients (à court et moyen terme) peuvent être estimés avec précision. Les chiffres de vente, les zones géographiques ou encore la saisonnalité des produits peuvent ainsi être passés au crible afin d’anticiper la demande.
En parallèle, la Business Intelligence permet d’affiner les prévisions de vente pour évaluer avec précision la durée de vie de chaque produit. Vous pouvez ainsi créer des tableaux de bord d’approvisionnement intelligents, qui vous aideront à optimiser vos commandes fournisseur et à grouper vos achats de manière rentable.
Always having the right product in the right place, in sufficient quantity, is no easy feat. Data can, however, help you prevent the risk of saturation or, conversely, out of stock. The prediction of demand, in particular, makes it possible to measure the quantity of goods needed over a given period.
But BI is also interested in external factors, such as events that could disrupt delivery times or even problems with the supply of raw materials. You can thus calmly manage your stocks and maintain an optimal turnover rate.
MANAGING HUMAN RESOURCES BETTER
Human resource management is crucial in logistics warehouses. To effectively plan the work of the teams and avoid any situation of understaffing, the volumes of goods to be shipped must be anticipated in the short and medium term. Constant monitoring of sales figures or lead times is also indispensable.
If any of these KPIs change, the supply chain can quickly adapt by increasing the workforce or optimizing the distribution of tasks. In addition, business teams are gaining autonomy and are no longer waiting for a monthly report in their mailbox. By switching to a PULL model, they will directly seek the information they need when they want it, in a completely autonomous way.
The respect of delivery times and the good condition of the goods are decisive for customer satisfaction. With a transport dashboard, it is possible to optimize delivery rounds to make them faster and safer. Data can even help the company to choose carriers that are perfectly suited to its needs, for even greater efficiency.
OUR CUSTOMERS TESTIFY
Check out examples of projects implemented with DigDash Enterprise.
TRANSPORT DASHBOARDS FOR NEWLOGUP EDITOR
“We chose DigDash because its modeling of data in multidimensional cubes seemed to me more capable of supporting the requested performance and the increase in load.”
MONITORING OF THE LOGISTICS KPIS OF THE la PALETTE ROUGE
“The strengths of the DigDash Enterprise solution are multiple: navigation with a global vision while being able to go into detail, complementarity with BusinessObjects, management of very large volumes of data…”
DYNAMIC DASHBOARDS FOR THE ARCURE GROUP
“The solution was able to adapt to our needs, with specific developments, to ensure that it worked. In short, DigDash was able to understand our specificities and make us a personalized offer.”
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