Command new technology to become future-proof

Build new technological and commercial capabilities fast, with campaigns that galvanise your business to rise to the challenge of customer centricity in the digital era.

Learn how food and beverage companies use Filtered for:

noun_tick_684585-min DIGITAL      TRANSFORMATION noun_tick_684585-min SKILLS FRAMEWORKS
noun_tick_684585-min AUTOMATED CURATION noun_tick_684585-min CHANGE CAMPAIGNS
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Evolve faster

Technology has overhauled an already evolving food and beverage industry. Big data has the potential to revolutionise how products get to market and how those markets are approached; customers are more connected, and their satisfaction is the new metric of success; even the way people approach what they eat and drink is changing.

Whoever best leverages digital possibilities will gain and retain customer loyalty, the rest will fall behind.  Fixing digital learning and linking it to talent and performance data is essential. We can help you:

  • Develop and deploy a streamlined, productised skills framework focused on exactly the capabilities you need to take command of new technologies

  • Accurately and scalably tag existing and new content against this framework to deal with digital content overload and personalise at scale

  • Run campaigns that galvanise your business to rise to the challenge of customer centricity in a digital era

  • Leverage learning and talent data analysis to increase the speed of infrastructure development and employee training

buy better, tag better, curate better

Digital transformation with Heineken

Nicole Stead is the Global Digital Learning Lead at Heineken; she spoke about the steps she’s taking towards digital transformation, the difficulties on the horizon, and how she’s planning to handle them through influencing company culture, utilising internal data, and mixing the tech with the human. 



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Solve the problem of defining relevant skills

Building skill frameworks has fallen behind within large food and beverage companies. Time and money are wasted on complex, static, multi-layered frameworks. Often based on no more than surveys and committee judgments, these legacy frameworks are rarely put into practice. External consultancies are brought in to help, but their frameworks are often too generic and unwieldy to keep up with the capabilities that matter in an evolving market.

We use data to deliver simple (we say ‘productised’) skills frameworks of less than fifty top-priority skills that will join people to content (via a skills signature) and meld current and future needs. Armed with a common language for mission-critical skills, you can make sense of learning and talent data and build easily searchable, evolving knowledge bases.

skills framework


average save on annual content spend with Content Intelligence


faster than human curation, with higher accuracy. 1000s of hours saved.


learning campaign engagement rates to industry average.


of our recommendations are marked useful


of users spend more time developing targeted capabilities


of users have applied a Filtered recommendation to improve their work


Fix search and automate curation

We know how hard it is to maintain and update vast libraries of internal training content to develop new products, streamline processes, and optimise the commercial workforce. Hundreds of thousands of internal resources sit alongside large external libraries like GetAbstract, Coursera and LinkedIn Learning. Plus there's all of the content out there on the web in the public domain. The vast availability of content makes tagging it by humans impossible.

Filtered has developed automated tagging tools and technology to analyse all of that content and curate that which is most relevant for your business, i.e. to your productised skills framework. Using the framework as a lens to examine all content enables efficiency savings as we can advise on saving money by cutting underperforming libraries and surfacing the really outstanding assets. Then delivering them to the right people at the right time. And the best part is, we can get it up and running in a matter of weeks, not months, to help to react with agility to upskill and reskill your teams. 


5 Ways to improve your Food & Beverage learning strategy

The food and beverages industry is facing multiple, fundamental overhauls right now. As a learning and development professional, it's up to you to help your organisation transform its people to face its challenges. The pressure's on.

We know you've got this. But it's always good to have help. So we interviewed some of your industry colleagues to inform this in-depth guide, which covers how to:

  • Address your organisation's key challenges from a learning perspective
  • Seize the moment to bring your L&D department closer to the business
  • Drive performance through learning innovation and automation


Deliver change and engagement at scale

Going digital means changing the way you communicate. You can’t just expect your busy employees to come to your learning system. You’ll need to persuade them with high-quality, intelligent and intentional comms.

Microsoft Teams is being deployed across the food and beverages sector. Getting people to engage - and doing something good with their engagement - is critical. Our Teams integration is helping Food and Beverage organisations to build campaigns that:

  • Bridge the gap between legacy LMS and intranet platforms and users by pushing notifications into email and MS Teams
  • Capture new data on learning and skill development to plug shifting gaps in your organisational knowledge
  • Re-engage your people in your most important change programmes
Josh Bersin

Content intelligence is a powerful solution for streamlining content, engaging learners with the most relevant content, and maximizing ROI on learning.

Josh Bersin

Global Industry Analyst

Rosemary Hoskins

"Content relevance analysis provided striking results, informing the decision to conduct an in-depth market analysis before committing to new multiyear contracts for learning content libraries."

Rosemary Hoskins

Global Capability Lead, AstraZeneca

Martin Peart, GSK

'I had 70,000 or 80,000 content items available across different partners, it was overwhelming. When I started working with Filtered, I realised there are better ways to do it. Using technology and algorithms we were able to focus on the right pieces of content for different skills.'

Martin Peart

People Effectiveness Director, GSK

Avinash Chandarana

“Filtered help connect the dots of L&D resources using AI and machine learning - personalizing great content for our talent.”

Avinash Chandarana

Global L&D Director, MCI Group

Nicole Stead - Heineken

‘The Filtered platform really helps us to improve the overall learning experience in a way that, in Heineken, we have never been able to do before."

Nicole Stead

Global Digital Learning Lead, Heineken

Binda Patel, Sutton Trust

“We wanted to leverage the technology offered by Filtered to provide a really personalised journey for our students. It's incredibly smart how much their technology improves the more our students interact with it."

Binda Patel

Head of Innovation, The Sutton Trust

Dr Nalayini Thambar, University of Nottingham

"I can’t begin to tell you how pleased I am that Filtered has launched at Nottingham and how grateful we are for your work and patience as we worked through the implementation."

Dr Nalayini Thambar

Director of Careers and Employability

Donald H Taylor

"Filtered represents the future, actually the present, of AI in learning."

Donald H Taylor

Chairman, The Learning and Performance Institute

Peter Manniche-Riber

"Filtered takes competencies and skills we want in the business and intelligently provides learning recommendations at the individual level."

Peter Manniche Riber

Head of Digital Learning, Novo Nordisk

Francesco Mantovani

“Filtered's passion, flexibility and beta mindset are an example of how we want to work with partners. Thanks for making marvelous things with us and for us!”

Francesco Mantovani

Global Talent Development, Procter & Gamble

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