LabelINSIGHT for Retailers

LabelINSIGHT for CPG

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    Wednesday
    Mar042015

    Video: Mobile and E-commerce. How Does Label Insight Fit In?

    As my colleague, Anton Xavier, discussed in a previous post, 2014 saw an 8.5% increase in online sales for Black Friday sales. Concurrently, nearly half of online traffic came from mobile devices, 46.7% to be exact, and accounted for over 25% of online sales for 2014.

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    Wednesday
    Feb252015

    Video: CPG Companies Look at Current Products for Missed Opportunities

    General Mills recently announced 5 versions of the Cheerios Cereal will start to promote being Gluten Free, including the best-selling cereal in the U.S., Honey Nut Cheerios. Of the 5 versions to start promoting the fact they are Gluten Free, only the Multi Grain Cheerios needed a recipe change to be able to do so, due to the fact it contains wheat and barley.

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    Thursday
    Feb122015

    Managing 10,000+ Product Data Attributes

    A signature strength of our platform is the ability to provide accurate, granular and up-to-date product data and is highlighted by the 10,000+ unique product attributes. The ability to query our database in respect to individual ingredients, ingredient groupings, nutrient values, marketing claims, certifications or by creating a customized attribute perfectly unique to their issue is what we pride ourselves on.

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    Monday
    Feb092015

    The Conversation Between Manufacturers, Retailers and the Consumer

    Today’s consumers are increasingly vigilant and seek to understand product data and implications, they require taxonomies that make their selections easier and their shopping more efficient.

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    Thursday
    Feb052015

    10 Ways CFPD Enhances CPG Analysis 

    Accurate, granular and up-to-date Consumer Facing Product Data is in high demand in the grocery industry. In a previous post, I dove into why this was the case - generally due to consumer demand for transparency in product data and the need for industry to respond at speed. In this summary post I will outline the top 10 use cases for CPG manufacturers and suppliers that are being enhanced when utilizing comprehensive CFPD:

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    Friday
    Jan302015

    Paleo, Vegan & Vegetarian Diets. What is the Connection with Cereals and Yogurts?

    According to Google Trends, the Paleo diet was the most-searched diet of 2013. Part of its current success is due to the fact that Paleo tenants represent an overlap with other diet plans. The most common attributes highlighted by Paleo products are gluten free, dairy free, all natural, and preservative free. The diet has also been adopted as the official diet of CrossFit athletes. CrossFit’s main sponsor, Reebok, has even introduced a type of bacon that meets Paleo meat standards, which require meat to be free of nitrates, MSG, sweeteners, and preservatives.

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    Monday
    Jan262015

    Integrating our Clients' Proprietary Data with our CFPD

    As my previous post discussed, we were able to deliver immediate impactful data through enterprise APIs for our clients’ to integrate into their solutions. This proved powerful and relatively simple for solutions made from scratch.

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    Monday
    Jan262015

    Understanding CPG Food Marketing Terms 

    The Academy of Nutrition and Dietetics recently released an article highlighting the prevalence of new terms and claims being used to describe a host of new food products. To bring clarity and definition to these new terms, the academy focused on 5 increasingly popular terms: Natural Processed and Unprocessed Local Whole Organic

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    Friday
    Jan232015

    Speed to Insight: Enabling Transparency and Facilitating Collaboration

    Some of the biggest demand for our capabilities here at FoodEssentials comes from the manufacturers side of the industry. Many might think manufacturers actually make a point to omit product data from their products but in fact, there is a growing trend of transparency from this group.

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    Monday
    Jan192015

    How Raw Product Data Quality Impacts CFPD Accuracy

    Raw product data quality strives to reach a said percentage of accuracy for each individually entered “raw” data field, such as each individual nutrient, their units of measurement, the ingredients, the brand and manufacturer and size and weight (to name a few). Efforts are focused on measuring, and then improving, the accuracy percentage of each raw data field. We measure accuracy using sampling and statistical distribution for each field.

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