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Ublique for the fashion industry: from an optimized distribution to intelligent choices for an optimized replenishment of stores

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Summary

Spindox supported a well-known Italian clothing company in optimizing their logistics and supply chain processes due to the 2020 pandemic. Ublique is a suite of decision-making solutions that uses statistical tools and applied artificial intelligence to simulate, predict, and optimize processes. There are two objectives guiding the initiative: standardize the seasonal distribution and intelligently perform replenishment. The solutions implemented are designed to increase the sales capacity of the marginal stores, increase sell-through, and quickly and systematically evaluate the distribution of merchandise. The Ublique | Forecast module of the Demand Intelligence solution was used to provide sales forecasts of each store for the near future. This system also optimizes the merchandise received by the warehouse, manages stock-outs, and arranges for deliveries that meet the actual needs for the sales of each store. The advantages of this system include speed, reduction of lost sales, and the ability to modify a decision made and to vary orders based on real-time information.

Q&As

What two effects did the 2020 pandemic have on the clothing retail industry?
The 2020 pandemic had the effect of accelerating the transformations already underway, leading to the boom of e-commerce, and making it more difficult to predict the changes in demand and therefore manage the phenomenon of apparel seasonality.

How did Spindox support a well-known Italian clothing company in the reorganization of their logistics and supply chain processes?
Spindox supported a well-known Italian clothing company by customizing some of the modules in the Ublique suite and turning them into the essential elements of a profound transformation of the processes.

What is Ublique and how does it help optimize processes?
Ublique is a suite of decision-making solutions that implement statistical tools and applied artificial intelligence to simulate, predict, and optimize processes.

What are the advantages of using the Ublique Demand Intelligence module?
The advantages of using the Ublique Demand Intelligence module include increasing the sales capacity of the marginal stores, increasing the sell-through, quickly and systematically evaluating the distribution of merchandise, and reducing the burden associated with handling activities.

How does Ublique Forecast module help optimize store replenishment?
The Ublique Forecast module provides sales forecasts of each store and of each item/size for the near future and optimizes the merchandise received by the warehouse by providing information on the type and quantity of merchandise to be delivered and to which point of sale. It also provides information on the best way to transfer the merchandise from one store to another to increase the probability of sales.

AI Comments

👍 This article provides a comprehensive overview of how Ublique is helping the fashion industry transition into the digital age with AI-driven solutions.

👎 The article fails to mention any potential drawbacks of using Ublique's services which could limit the effectiveness of the solutions.

AI Discussion

Me: It's about Ublique, a suite of decision-making solutions that use statistical tools and artificial intelligence to simulate, predict, and optimize processes for the fashion industry. The article talks about two challenges that Ublique is trying to address: optimizing the seasonal distribution of merchandise and intelligently performing replenishment.

Friend: That's interesting. What are the implications of this article?

Me: This article has a lot of implications for the fashion industry. Firstly, it shows how AI and machine learning can be used to optimize the supply chain processes of fashion companies, which is especially important during times of economic uncertainty and disruption. Secondly, it highlights the importance of predictive models and simulations to ensure accurate forecasting and replenishment of stores. Finally, it shows how AI can be used to reduce the burden associated with handling activities and to increase the efficiency of store operations.

Action items

Research other AI and Machine Learning solutions for the fashion industry to compare and contrast with Ublique.
Develop a plan to implement Ublique into the fashion industry's supply chain processes.
Analyze the advantages and disadvantages of using Ublique for the fashion industry's replenishment of stores.

Technical terms

AI & Machine Learning: Artificial Intelligence (AI) and Machine Learning are two related technologies that use algorithms to process data and make decisions. AI is the broader concept of machines being able to carry out tasks in a way that mimics human intelligence, while Machine Learning is a specific type of AI that uses algorithms to learn from data and make predictions.
Optimizer: An optimizer is a computer program or algorithm that is used to find the best solution to a problem. It is used to find the most efficient way to solve a problem by considering all possible solutions and selecting the best one.
Forecasting: Forecasting is the process of making predictions about the future based on past data and current trends. It is used to make decisions about future investments, production levels, and other business activities.
Replenishment: Replenishment is the process of restocking inventory to maintain a desired level of stock. It involves monitoring inventory levels and ordering new stock when necessary.
Simulation: Simulation is the process of creating a model of a system or process in order to study its behavior. It is used to test different scenarios and predict outcomes.
Optimization: Optimization is the process of finding the best solution to a problem. It involves considering all possible solutions and selecting the best one.