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Transforming Retail through Precision Forecasting and Advanced AI Solutions


AI Transformation in Retail

In today's highly competitive retail landscape, precision in demand planning and inventory management is paramount. Leveraging the power of Artificial Intelligence and data science, Sumo Analytics propels retailers into a new era of operational efficiency and market responsiveness.


Our advanced AI solutions translate vast amounts of historical and real-time data into actionable insights, allowing retailers to make informed decisions and stay ahead of the competition. From accurate demand forecasting to predictive warehouse replenishment, we customize our solutions to meet the unique needs of each retailer, ensuring optimal stock levels, reduced waste, and improved customer satisfaction.



Challenges in Retail

The dynamic landscape of the retail sector presents a myriad of challenges that can make demand planning and inventory management a complex task. Retailers grapple with several issues that AI and data science can effectively address:

Unpredictable Demand

Seasonality, trends, and economic fluctuations all contribute to erratic consumer demand. Traditional methods often fail to predict these shifts accurately, leading to overstocking or stockouts.

Inefficient Procurement

Procuring the right quantity of goods at the right time is crucial to maintain a balanced inventory. However, without accurate demand forecasts, retailers often face the risk of under-procurement or over-purchasing.

Inventory Imbalance

Balancing inventory levels to minimize stockouts and surplus stocks can be a complex task, often impacted by incorrect demand forecasts. This can tie up cash in inventory and result in missed sales opportunities.

Store Replenishment

Automating the replenishment of retail locations based on accurate demand forecasts is often a missed opportunity.

On-Shelf Availability

Ensuring optimal product availability on the shelves can be a daunting task, as it requires a delicate balance between demand and supply.

Warehouse Replenishment

Retailers often struggle with distributing inventory across different fulfillment centers with precision.

Overhead View of Warehouse

AI and data science come as a game-changer in tackling these challenges. They enable retailers to make data-driven decisions, leading to improved efficiency and profitability.


Sumo Analytics Use Cases

AI-driven Demand Forecasting

With our Auto ML technology, we offer AI-driven demand forecasting with superior accuracy. By utilizing historical data and various external variables, we customize multiple forecast models, providing the highest possible accuracy, enabling retailers to plan and prepare effectively for fluctuating demand.

Predictive Procurement Optimisation

Our predictive procurement optimization allows retailers to procure the right quantity of goods, at the right time, and at the right location. By accurately forecasting demand, we help retailers streamline their procurement processes, reducing waste and improving efficiency.

Inventory Optimisation

Through our advanced AI-powered technology, we assist retailers in significantly reducing the amount of cash tied up in inventory and eliminating costly stockouts. Accurate demand forecasting translates to optimal inventory levels, saving retailers from unnecessary cost.

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Return Forecasting

We leverage AI solutions to predict the likelihood and volume of product returns in the short-term and long-term. This allows retailers to plan and manage their inventory more effectively, improving overall operations.

Predictive Store Replenishment

Our AI-driven predictive store replenishment solution automates the process of delivering the right quantity of products to each retail location at the right time. This results in efficient inventory management and the elimination of stockouts.

Assortment Optimisation

We use advanced AI technology to enable retailers to tailor each store's product assortment according to changing customer preferences. This leads to increased customer satisfaction and improved sales.

On-Shelf Product Availability

Our Statistical Availability Monitoring solution actively detects lost sales and provides actionable insights to implement corrective actions. This ensures optimal product availability on the shelves and improves customer experience.

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Promotion Forecasting

We offer an advanced solution for accurately forecasting the impact of different trade promotions on demand. This allows retailers to plan promotions more effectively, improving sales and profitability.

Shopping for Clothes

Predictive Warehouse Replenishment

Our solution allows for precise distribution of inventory across different fulfillment centers at the right time. This not only reduces safety stock levels but also eliminates stockouts, improving warehouse operations, and overall efficiency.

Use Cases
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Sumo Analytics stands at the forefront of innovation in demand forecasting technology. Our mastery in delivering superior forecast accuracy is the cornerstone for effective demand planning optimization.

Discover more about our advanced AI-powered forecasting solutions HERE

Case Studies

Advanced AI-Powered Forecasting Helps European Retailer Cut Inventory Costs and Improve Sales

In the retail industry, accurate demand forecasting is critical to ensure that retailers can maintain optimal inventory levels and avoid stockouts. Stockouts lead to lost sales and dissatisfied customers, while excessive inventory levels increase costs and reduce profitability. Accurate demand forecasting enables retailers to order the right quantities of products at the right time, reduce inventory costs, and improve customer satisfaction.  In this case study, we will discuss how Sumo Analytics, a data science and AI solutions agency, helped a large grocery retailer in Europe improve their demand planning significantly with an advanced AI-driven forecasting method.

Read more here

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"Sumo Analytics revolutionized our demand planning process. Their AI-powered forecasting technology made our inventory management much more precise, effectively reducing stockouts and freeing up significant capital. The results were impressive – a 38% improvement in forecast accuracy and a more profitable retail operation."

Director of Operations, International Fashion Retailer, Spain

Case Studies

At Sumo Analytics, we're reshaping the retail industry by leveraging the power of AI to transform decision-making processes and operations. Our solutions are meticulously designed to address the multifaceted challenges retailers face. We focus on superior demand forecast accuracy, optimizing procurement and inventory management, and delivering insights to facilitate strategic decisions, all of which ultimately improve profitability. We are dedicated to helping retailers reduce inefficiencies and seize opportunities, paving the way for a more resilient and profitable future.

Whether it's for services listed here or a unique challenge, we're here to help. Contact us today to learn more or to schedule a consultation.

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