Lantek Customer Analytics

Maximizing the return on investment is very difficult, as despite the abundance of data there is no precise information on the results of the operating profit, which cover the entire process from when the offer is prepared to when the order is invoiced. New tools are necessary that provide information to identify where there is margin for improvement and apply adequate corrective measures.

Modern factories are increasingly technified and connected, which offers them the availability of a large amount of data. However, an abundance of data does not directly imply an abundance of useful data for decision making. Lantek Analytics seeks to fill this gap, making an advanced business intelligence tool available to all those involved in the production process.

The Customer Analytics module collects all the data generated by the rest of Lantek’s Suite of applications and third-party ERPs while displaying it in the most appropriate way to facilitate detailed analysis.

Efficient production is not much use if the client attraction, quoting and sales processes do not operate optimally. The daily flurry of orders means that sometimes it is hard to identify who the good clients are, the sales reps who close more contracts, or knowing the details about turnover. The client analysis module makes it possible to analyze in detail the sales funnel, to identify the best clients with respect to sales and margins, and also the deviations of costs and their causes, among other aspects. Likewise, the comparison of historical data makes it possible to identify seasonal trends and patterns that enable the user to act in advance and plan in the best way possible.

The Customer Analytics module covers the entire sales process:

• Quote Analytics: makes it possible to analyze the client attraction and quoting processes. Who are the most effective sales reps, in both number of accepted offers and in total amount? What clients request quotes most often and which of them accept more quotes? Who are the recurring clients?
• Production Analytics: production from the point of view of the clients. When the workload is high, it is not always possible to provide an optimal service to all clients, meaning that it is essential to identify those that are most important to prioritize their orders. Knowing which clients generate the most production, what type and with what costs leads to the most adequate prioritization.
• Sales Analytics: A detailed sales analysis is as important as analyzing customer attraction. Sales Analytics allows you to identify the regions with the most clients and whether they are meeting sales targets. It can also compare the quoted cost with the real cost enabling the evaluation of the efficiency of the quoting process.

No two companies are the same, meaning that any software solution must adapt to specific needs. For this reason Customer Analytics offers the user the possibility of creating, configuring and saving their own visualizations. Likewise, it offers dozens of ready-to-use preconfigured metrics that the user can choose from and make different comparative and evolutionary analyses. It can also filter information using different criteria; from the most basic such as time range and material, to the more advanced, such as multi-plant filtering.

Lantek Analytics is a business intelligence solution adapted to the specific needs of the metal sector that uses all the information generated by the suite of Lantek products that can easily be integrated with third-party products. It is an innovative tool that converts the data into useful information that makes it possible to get full performance out of the plant’s production process. The Customer Analytics module provides detailed information about your company’s entire sales process, as well as the factors that influence it, to be able to improve it and get the most performance out of your investment.