Do you know your clients well? Do you dedicate to all the same time equally? Would you sell more if you had more sales reps?
Juan José Colás, Chief Sales and Marketing Officer of Lantek
Managers who try to understand and deepen their knowledge of their market ask themselves these questions every day.
In an increasingly hyper-connected world, the metal sector is no exception. Factories face new challenges related to the use of information and access to data; not only manufacturing data but also commercial data.
At Lantek, we are aware that companies do not have fast and precise tools that cover the relationship with clients from preparation of a quote to invoicing an order despite the overwhelming amount of data obtained from the machines and ERPS integrated in plants.
The high number of consultations and orders received by part subcontractors makes it difficult to prioritize and identify recurring clients and those that give us better or worse success ratios in offers while establishing an optimal number of necessary sales reps.
Lantek will soon launch Lantek Customer Analytics, an advanced analytics tool. This business intelligence tool is adapted to the specific needs of the metal sector which feeds from the information generated by the Lantek suite of products while providing integrations with third-party products.
Cutting and bending sheet metal accurately is a challenging task, especially when the job involves tight tolerances and complex geometries. It often takes time, skill, and multiple tries to meet customer specifications.
There has been a considerable amount of publicity about the advantages of cloud computing and rightly so. The advantages are clear as it removes the need to have skilled people to set up and run complex in-house computer networks and also takes away the need to invest in expensive equipment and continually reinvest to keep it up to date.
Business Intelligence systems are increasingly part of the daily reality of our business as a tool to make better real-time use of the data we handle so that we can make better decisions, prevent errors, anticipate new needs and develop new business models.