AI

19 10, 2023

Tradecloud as a Data Lake – Blog Series #3

2023-10-19T11:34:40+02:00

As described in our previous blog posts, the potential of AI is enormous. To fully harness the potential of AI, it is crucial that the right algorithm is applied to the right use case, based on the right data. For this reason, we started our AI journey by looking at the most limiting factor; [...]

Tradecloud as a Data Lake – Blog Series #32023-10-19T11:34:40+02:00
3 01, 2023

7 Questions to Tonnis de Boer (CEO Tradecloud) about AI in supply chain management

2023-01-03T12:29:56+01:00

Interview with Tonnis de Boer (CEO Tradecloud) about AI in supply chain management           How has Tradecloud used artificial intelligence to optimize the supply chain process? Tonnis de Boer: We have integrated AI algorithms into our platform to help automate certain tasks and provide more accurate risk prediction. This helps our [...]

7 Questions to Tonnis de Boer (CEO Tradecloud) about AI in supply chain management2023-01-03T12:29:56+01:00
12 12, 2022

5 tips on AI in supply chain management

2022-12-09T15:22:29+01:00

Artificial intelligence (AI) is a rapidly growing field with many potential applications across a wide range of industries and domains. In the world of supply chain management, AI has the potential to revolutionize the way that businesses source, produce, and distribute goods and services. Here are five ways in which AI can be applied in [...]

5 tips on AI in supply chain management2022-12-09T15:22:29+01:00
27 09, 2021

AI case study 5: Workflow automation with TradeCloud One

2023-07-14T14:49:28+02:00

The Business Problem In this business case, AI workflow automation will be exemplified using the example of a TradeCloud client. The client is a manufacturer of machines for the sorting of eggs and is based in the Netherlands. The company has more than 200 suppliers for its components, which means putting a lot [...]

AI case study 5: Workflow automation with TradeCloud One2023-07-14T14:49:28+02:00
6 09, 2021

AI case study 4: Machine Learning in the Manufacturing Process

2021-09-06T00:16:16+02:00

The Business Problem The manufacturing process of memory chips involves around 1,500 steps that need to be performed in sterile conditions to avoid specks of dust from damaging the wafers. However, damages occur nonetheless. The quality issues that arise, scratches, holes etc., are often microscopic and near-invisible to the human eye! The manufacturing [...]

AI case study 4: Machine Learning in the Manufacturing Process2021-09-06T00:16:16+02:00
13 08, 2021

AI case study 3: Cost-saving AI in Manufacturing Logistics

2021-08-13T16:29:11+02:00

The Business Problem In the world of logistics, empty fleet management cannot be overlooked. For container shipping, the Boston Consulting Group estimates that up to 8% of a shipping line's operating costs relate to the repositioning of empty containers - without the associated costs of empty container storage and maintenance (BCG, 2015). The [...]

AI case study 3: Cost-saving AI in Manufacturing Logistics2021-08-13T16:29:11+02:00
15 07, 2021

AI case study 2: Efficient inventory management using Artificial Intelligence

2021-07-15T19:16:23+02:00

The Business Problem A major challenge for manufacturing companies is to know what, when, where and how much stock should be ordered and kept. SME’s traditionally calculate this manually using Excel, Google Sheets or other software solutions. These solutions can be automated to an extent and are fairly adequate in most cases. However, [...]

AI case study 2: Efficient inventory management using Artificial Intelligence2021-07-15T19:16:23+02:00
29 06, 2021

AI case study 1: Demand Forecasting using Artificial Intelligence

2021-07-15T19:39:28+02:00

The Business Problem One of the biggest challenges for business executives today is demand volatility in relation to demand forecasting. Whereas data availability continues to increase, customer purchase patterns are becoming increasingly complex, and therefore harder to detect or predict (Symphony Retail, n.d.). There are too many factors influencing demand, ranging from weather fluctuations [...]

AI case study 1: Demand Forecasting using Artificial Intelligence2021-07-15T19:39:28+02:00
19 11, 2020

The difference between Artificial Intelligence and Machine Learning – Blog Series #2

2023-10-19T11:38:11+02:00

AI & Machine Learning Since the release of ChatGPT in Nov 2022, we jumped out from our “AI Winter”. This AI hype is bringing us dozens of new tools that make it easier to generate content and automate “dumb” work. At the same time, legislators scramble to regulate AI to keep its consumers [...]

The difference between Artificial Intelligence and Machine Learning – Blog Series #22023-10-19T11:38:11+02:00
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