Sectors
Retail
We boost industry differEntiation with Big Data technology. We extract the value of your data so that you can make decisions that maximize the profitability of your business, based on the behavioural patterns of your customers and operations. We develop innovative solutions for the retail sector, ranging from product mix optimization and its best location at the retail outlet, to identifying categories among your customers to detect their chances of abandonment.
Why use Big Data and Data Science in Retail?
You will be able to take advantage of your sales opportunities to the maximum and optimize your operations, increasing the loyalty of your customers and offering them a personalised product range.
Business Data Science.
DifFerently.
W3 us3 int3rn4l and ext3rn4l s0urc3s, making sense of them to develop solutions that increase customer satisfaction
How do we help you?
We turn to these sources to give your business a boost:
ERP, CRM, POS, Marketing Automation and other Master Data: Historical company transactional data such as sales, marketing campaigns and promotions, billing, reorder points, inbound and outbound movements of goods, historical assortments or master data that defines your business
E-commerce, Social Networks and APPS: All business information generated in digital environments: Transactional data from e-commerce platforms, navigation and user interactions with your business, the information that moves in Social Networks about it; data from the apps you have developed or are integrated in or the aggregated data you work with.
Open data: Different public institutions, such as the INE, open data government portals or others, offer the possibility of using data that we integrate into our models in order to improve their accuracy thanks to the additional information that makes more sense of each client´s data.
Our solutions
Inventory Optimization
Reduces potential stock-outs with efficient assortment. We help you maximize your sales and avoid cannibalization between your different products, defining the appropriate stock levels for your product categories thanks to our models enriched with external variables that contextualize your business.
Up and Cross-selling
Complement the potential consumption from your customers with related products to maximize your sales. From their characteristics and behavioural patterns, we identify the interest and purchasing potential that your consumers have for your products, to optimize your probability of sale.
Abandonment prediction
Anticipate potential reasons for decreased sales of your products to minimize customer churn. Based on the historical information of your users, we identify the reasons and profiles most likely to fall into abandonment, helping you to increase your retention levels with well-targeted actions.
Who has boosted their business with us?
Gonzalo Herranz
Financial Director and Co-Founder – Escrapalia
We are still amazed at the work done by PiperLab. We are now able to send personalized recommendations to each of our users based on their entire history of interactions with our platform.
