Mintec Ltd: Commodity Pricing Data & Forecasts
Over 15,000 commodity prices and forecasts across 18 categories
Mintec enables the world’s largest food and manufacturing brands to implement more efficient and sustainable procurement strategies. We deliver market prices and forecasts for more than 15,000 agri-food ingredients, associated industrial materials and energy. Our data empowers our customers to understand prices better, analyse their spend and negotiate with confidence.
The Mintec data covers the following 18 categories:
– Energy & Transport
– Industrial Materials
– Metals & Ores
– Plastics & Textiles
– Pulp Paper & Wood
– Dairy & Eggs
– Fish & Seafood
– Food Ingredients
– Fruit & Juices
– Grains & Feed
– Herbs Spices & Plants
– Meat & Poultry
– Nuts Seeds & Dried Fruit
– Oilseeds Oils & Fats
– Vegetables & Pulses
Our data is second to none and we continually strive to improve the quality of our data sets to make them even more relevant for our clients. Our data is sourced from partners including producers, traders, public sources and industry experts who work closely with us to ensure we obtain high quality and reliable market prices.
In addition, Mintec Benchmark Prices (MBP) are a range of proprietary price series collected by our Pricing Team, using our robust Methodology and are exclusive to Mintec. These price series provide an additional level of granularity and specificity for different product types and grades, enabling users to understand material cost more accurately.
For more information, sample data or to request access, please get in touch with Mintec via the request data button included in the listing.
About the Provider:
For over 30 years, Mintec has been the leading provider of raw material market prices and analysis covering more than 15,000 food ingredients and non-food raw materials.
Ensuring they are best placed to reduce costs, manage risk, and increase their efficiency, helping to maximise margins.
The Mintec data is designed to save time, reduce human error, and drive more actionable and efficient outcomes.