With the market becoming increasingly more competitive and the speed of change accelerating, making your sales effort more effective could be the key to your company’s success. In this sense, having the right tools to help you identify hotspots (places with high market potential) for your business can be the right step to avoid going all over the country in search of the best opportunities for your company.
Supported by a predictive model of the potential market, the PSE Predictive Mobility Sales tool, developed by PSE, allows you to help your sales team with the most relevant information so that it can develop an effective work. Allowing the collection of critical information for the business, with this tool you will be able to navigate in an agile way in the best business hotspots.
How does this solution work?
The identification of key variables for defining the potential market constitutes the backbone of the PSE Preditive Mobility Sales solution.
Thus, the solution developed by PSE allows expanding the knowledge already acquired by its teams and, through Machine Learning techniques, spatio-temporal models and advanced analysis software (namely IBM SPSS), predictively identify hotspots with a high potential market. in all territories defined by the companies.
In addition to this update, providing a process for modeling and identifying high potential locations, your teams will also be able to differentiate these locations on weekdays, weekends, times of the year and, in specific cases, also determine time periods in it will be worth investing.
Predictive analytics to differentiate and set companies apart
For the development of the predictive project, the use of data collected by the companies is crucial so that the sales teams can act more effectively. However, with the PSE all data is combined, aided by socio-demographic statistical information, information on points of interest and data from the Mobility Panel of the PSE.
In this way, your team will be able to enjoy a great competitive advantage over its competition, positioning itself in the key places to achieve the desired success.
Combined prescriptive and predictive analytics for better decisions
In addition to allowing future scenarios to be predicted, the PSE Predictive Mobility Sales solution uses prescriptive models that generate automatic recommendations. Which area has the greatest potential sales market on Saturday morning? Where should I open a store to reach a greater percentage of the Greater Lisbon market? How much of my marketing budget should I allocate to each zone according to my potential market? With PSE Predictive Mobility Sales all these questions are easily answered.
In addition to the use of predictive techniques to identify places with high potential, the tool developed by PSE makes it possible to use prescriptive models to optimize the allocation of application users to each place of interest, thus ensuring the maximization of sales.
The model also includes continuous learning (with continuous feedback from the commercial action), providing new locations depending on the Field Personnel action obtained, allowing a high prescription dynamic for the commercial action.
Data model tailored to your needs
To support the PSE Predictive Mobility Sales solution, a data model is developed to manage users, receive business information from companies and provide personalized analytical results.
Here are some practical examples:
The PSE Predictive Mobility Sales solution has several applications, namely:
- Allocation of sales forces to locations with the most potential for your product
- Identification of potential sites for placing new buildings/equipment
- Identification of the best places to sell solutions/products
- Optimization of information, resources and processes
- Typification of solutions and products
Article published in “Distribuição Hoje”:
