From stock to the store counter: data and BI solutions that drive retail

Our clients in this industry

How BI can leverage the Retail area

Valuable insights based on data to improve operational efficiency, increase sales and offer a better customer experience. Check out practical examples of solutions, indicators and dashboards for the area:

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Sales and performance

Have dashboards that monitor sales on a daily basis. Access indicators such as: turnover per store; average ticket; conversion rate; and performance per salesperson. BI allows close monitoring with a 360 view of the network.

Equal case

Our client uses dashboards to evaluate sales and understand, for example, what could have been offered to each customer. Managers fill in forms in feedback meetings with employees, feeding BI to monitor the team's performance.

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Inventory management

Access dashboards that track the flow of stock, helping to avoid stock-outs or excess products. See indicators such as: stock turnover; days of coverage (how long the current stock lasts); stranded products (low output).

Equal case

Like the stock panel created for our client in the segment, we identify products with a high number of days in stock, supporting managers in designing promotional actions to accelerate sales.

We also created the onerous order, to assess how many pieces should be taken from stock at a time, in order to optimize logistics and avoid trips to the warehouse to look for a few items.

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Customer behavior

Use BI to map consumer preferences and buying patterns. Track indicators such as: frequency of purchase per customer; customer segmentation by preference, age group, location and amount spent.

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In the "Who bought what took what" report, we show groups of products that customers usually buy together. This helped managers to think about the layout of the stores, carry out sales assistant training and create purchase recommendations on the website.

We also automatically collect Google reviews and customer feedback on the networks to monitor the chain's image.

Choosing suppliers

View product markups on a dashboard so you can choose the most profitable suppliers. The dashboard can integrate different data sources, such as purchase history, supplier costs and sales data.

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In the dashboard created for the client, we show the net profit margin of each supplier based on the markup. If a supplier with a lower markup is generating a higher volume of sales, this can also be visualized in graphs.

What your Retail company gains from investing in data

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Improved decision-making

BI provides clear insights, allowing managers to make decisions based on data. Instead of creating a random promotion or deciding on a promotion based on assumptions, a retail company can use BI to analyze historical sales data and predict the effectiveness of different types of promotions in specific periods.

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Operational efficiency

BI makes it possible to identify bottlenecks, inefficiencies and redundant processes, automate reports and integrate data from different departments. A retail store can use BI to automatically adjust stocks according to demand forecasts, avoiding excess products or stock-outs.

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Trend Forecasting

Improve strategic planning and adapt the company to market changes with BI. Based on past sales data and seasonal events, a chain of stores can predict demand for certain products during holidays and plan more effective marketing campaigns.

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Competitive advantage

BI allows companies to closely monitor the performance of the market and the competition. Continuous analysis of competitors' prices and promotions, for example, can allow a company to adjust its pricing or marketing strategies to stand out, winning over more customers and increasing market share.

What our customers say

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Our cases

ABC Glofox

How ABC Glofox invested in the Business Intelligence functionality of its platform to create a new source of revenue and improve customer loyalty

Mormaii

How the Mormaii Integrated Studios network gained agility and efficiency in management and strategic decision-making by investing in Business Intelligence

Frequently asked questions

BI in retail is the use of tools, techniques and technologies to collect, analyze and visualize data related to the sector's operations. It transforms raw data on sales, stocks, marketing, customers and more into useful information for decision-making.

BI makes it possible to forecast demand, avoid excess or lack of products and optimize stock levels based on historical data, seasonality and consumption trends. BI also helps with the logistics of orders from stores to stock. By analyzing the data, it is possible to identify the so-called "costly order", when the quantity of items to be fetched from stock is small and does not justify a trip to the site. With BI, it is possible to optimize orders so that the maximum number of items is fetched with the minimum number of trips between store and stock.

BI benefits various areas, such as sales, marketing, purchasing, logistics, customer service and team management, providing integrated insights for the business as a whole.

Not necessarily. Although it is possible to set up an in-house technical team, hiring a consultancy specializing in BI offers several advantages, especially for companies wishing to implement solutions efficiently, economically and strategically.

Forming an in-house team involves time-consuming recruitment, training and capacity-building processes. A consultancy already has experienced professionals who can start the project immediately. In addition, they are always up to date with the latest BI trends and best practices.

The time varies according to the complexity of the business and the amount of data to be integrated.

Better decision-making based on data.
Reduced operating costs.
Increased sales and profit margins.
Personalized customer service.
More accurate forecasting of demand and trends.

It identifies consumption patterns, best-selling products, peak times and customer behavior. With this data, you can create targeted promotions and optimize the product mix to increase the average ticket.

By understanding customer preferences, buying patterns and feedback, BI helps to personalize offers, reduce service times and anticipate demands, resulting in greater satisfaction and loyalty.

Yes, BI can track indicators such as sales per agent, conversion rate, average service time and customer feedback to identify strengths and areas for improvement.

BI dashboards are interactive, updated daily and allow you to explore data in a visual and intuitive way. Traditional reports, on the other hand, are usually static and need to be generated manually.

Yes, modern BI tools can be integrated with ERP systems, CRM, spreadsheets and databases, consolidating all the information in one place.

Yes, BI tools have advanced security protocols, such as data encryption and permission-based access controls.

The investment varies according to the scope of the project and the specific needs of the company. We offer a personalized proposal after the initial analysis.

You can contact us via our contact form, email or Whatsapp available on the page. We are happy to discuss your needs and how we can help.

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