Predicting tinters weights to achieve desired cielab color

A liquid tinting system comprising:

• a mixing system for mixing liquids;
• a color digitization processor coupled to the mixing system;
• a color digitization database coupled to the color digitization processor, the color digitization database storing colorant information and product information associated therewith;
• and
• a memory storing computer-executable instructions that, when executed by the color digitization processor, configure the color tinting system for:
• receiving liquid color information associated with a liquid batch;
• identifying a product identifier based on the liquid color information and the product information;
• and
• executing an artificial intelligence (AI) color prediction engine to predict colorants, wherein executing the AI color prediction engine comprises:
• modeling, by one or more models, tinting of the liquid sample by predicting one or more colorants and colorant masses based on the liquid color information, the product identifier, and the colorant information;
• generating a model selection policy for the product identifier based on the plurality of historical batch sample color information and product information;
• selecting a preferred model of the one or more models based on the model selection policy for the product identifier;
• and
• transmitting the colorants and colorant masses generated by the preferred model to the mixing system.

A method of tinting liquids in an industrial mixing system, the method comprising:

• receiving, by a color digitization processor, a batch color measurement value associated with a liquid batch in an industrial mixing system;
• executing, by the color digitization processor, an artificial intelligence (AI) tinting prediction engine, wherein executing the AI tinting prediction engine comprises:
• storing the batch color measurement value in a color digitization database, the color digitization database comprising a plurality of historical batch sample color information, a plurality of target standard sample color measurement values, and a plurality of colorant information wherein the colorant information includes a colorant value;
• and
• modeling, by one or more models, tinting of the liquid batch by weighting one or more of the delta errors, the batch color measurement value, a batch volume, the plurality of historical batch sample color information, or the plurality of colorant information to generate one or more predicted colorants and masses thereof from the plurality of colorant information to achieve the target standard sample color measurement;
• generating a model selection policy based on the plurality of historical batch sample color information and the target standard sample color measurement;
• and
• selecting preferred predicted colorants and masses thereof by applying the model selection policy to the predicted colorants and masses thereof;
• receiving, by the industrial mixing system, the preferred predicted colorants and the masses thereof;
• and
• mixing, by the industrial mixing system, one or more colorants into the liquid batch based on the preferred predicted colorants and the masses thereof.