According to a study released in August this year by the Brazilian Association of Supermarkets (Abras), Brazilian supermarkets wasted R$ 3.9 billion on fruits, vegetables, breads, fish and meats in 2017. resist problems such as damage in harvesting, packaging, transport, handling, preparation, and storage time, among others.
Fortunately, the Brazilian retail sector can now turn to artificial intelligence and machine learning solutions to improve its demand forecasting and replenishment strategies, especially in the case of fresh and ultra-fresh products.
The technological novelty comes from Symphony RetailAI, a company that has been operating in Brazil for three years and is one of the leading global companies in artificial intelligence-enabled decision platforms, customer-centric solutions and insights, is launching a tool for this purpose on the national market. end: the SR Demand ForecastingAI.
The new tools identify sales patterns based on consumer data and eventual intercurrences resulting from external impacts, making day-to-day retail operations more precise.
SR Demand ForecastingAI allows retailers to meet this challenge and dramatically improve their bottom line, as many of today's systems lack the specific logic to analyze such information.
This makes it possible to correct inconsistent stock purchases, pricing strategies and waste optimization. And also reduce the need for manual intervention, due to continuous data cleaning and machine learning. Initial results at a global level indicate that, on average, the use of artificial intelligence has reduced demand forecasts from 20% to 5%, which is extremely beneficial for the final results of the sector.
By optimizing the supply and conservation of fresh items, retailers automatically improve the level of service and reinforce their loyalty relationship with the customer, who is attracted to more relevant assortments, well located and with greater availability in stores.
In a recent survey carried out by the multinational with global retail supply chain leaders, 34% considers the data generated by the tool to be fundamental for sales, profitability and the customer's shopping experience. This is because the sector is experiencing a moment of rapid change, characterized by the convergence of the industry and new paths for the consumer.
Fortunately, the Brazilian retail sector can now turn to artificial intelligence and machine learning solutions to improve its demand forecasting and replenishment strategies, especially in the case of fresh and ultra-fresh products.
The technological novelty comes from Symphony RetailAI, a company that has been operating in Brazil for three years and is one of the leading global companies in artificial intelligence-enabled decision platforms, customer-centric solutions and insights, is launching a tool for this purpose on the national market. end: the SR Demand ForecastingAI.
The new tools identify sales patterns based on consumer data and eventual intercurrences resulting from external impacts, making day-to-day retail operations more precise.
SR Demand ForecastingAI allows retailers to meet this challenge and dramatically improve their bottom line, as many of today's systems lack the specific logic to analyze such information.
This makes it possible to correct inconsistent stock purchases, pricing strategies and waste optimization. And also reduce the need for manual intervention, due to continuous data cleaning and machine learning. Initial results at a global level indicate that, on average, the use of artificial intelligence has reduced demand forecasts from 20% to 5%, which is extremely beneficial for the final results of the sector.
By optimizing the supply and conservation of fresh items, retailers automatically improve the level of service and reinforce their loyalty relationship with the customer, who is attracted to more relevant assortments, well located and with greater availability in stores.
In a recent survey carried out by the multinational with global retail supply chain leaders, 34% considers the data generated by the tool to be fundamental for sales, profitability and the customer's shopping experience. This is because the sector is experiencing a moment of rapid change, characterized by the convergence of the industry and new paths for the consumer.
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