CONSUMERTEC LOGO           Home | Contact Us

Create - Invent - Innovate and Experiment
in World´s Consumer Relevant Terms

Consumertec Laundry Lab Suite (CLLS)

In-vitro & in-silico platform used by detergency laboratories around the world to strongly build laundry business with innovative balances between consumer benefits and formulation costs, so as to get the right value equation to consumers and companies in a worldwide basis. What does CLLS change in your detergency lab? - How CLLS positively influences your business? - What means in consumer relevant terms?

A unique tool (dingy monitors + algorithms) to improve detergency labs' ability to discern among technologies using two criteria: relevancy and variability of world's consumer responses at real laundry scenarios. Consumer responses concerning cleanliness, whiteness, colour-care, and olfactive-cleanliness perceptions. What is CLLS' performance? - How competitive is CLLS? - How compatible is CLLS with Consumertec? Is sustainable?

Who require the use of this platform at internal detergency labs, and why?

    • Technology innovations teams (R&D teams), because CLLS influences the direction of technological innovations and product attributes, by providing a full map of consumer perceptual responses, upstream the creativity journey with less cost and faster.
    • Consumer understanding teams (Consumer Market Knowledge or Consumer & Market Insight teams), because CLLS helps to correctly interpret consumer insights about benefit perceptions.

Frequently asked questions (FAQs)

Independent Components Overview:


In-vitro consumer relevant dingy monitors

Full set of unique test fabrics with visual or olfactive context to conduct physical experimentation about cleanliness, whiteness, colour-care, and olfactive-cleanliness; ready to be used for virtual experimentation

New catalogue. More...


Collection of algorithms to process spectral radiance from fabrics and estimate consumer visual responses at laundry visual scenarios

To conduct in-silico experimentation with selected test fabrics, with numerous types of predicted consumer responses, at several consumer relevant laundry scenarios

To characterise variable consumer realities by the frequency of occurrence of visual stimuli that generate perceptions, from visual environments collected in a worldwide basis

How it works? More...


Training support. A unique program to learn or improve understandings about experimentation in consumer relevant terms

A battle tested, real-world learning, and customisable workshop focused to Marketing and R&D personnel, to support brand and product innovation efforts

Curriculum. More...

Frequently Asked Questions (FAQs)

What does CLLS change in your detergency lab?
... it focus innovation on consumer and market realities in a new way

For more than 100 years the intuitive way to developed laundry products has been based on laboratory washing trials of artificial soiled test cloths and fast standardised washing procedures.

Currently one of the best used practices includes the use of test fabrics with full embedded soil material that occupies all test fabric surface, which is washed on small-scale laboratory equipment (Tergotometers or Launderometers). In the last decade test fabrics has claimed better discriminate power between laundry technologies which helped innovations teams to show some level of advantage between them. In a second step these technologies have to prove its performance in front of real consumers under different market realities. This two step technology innovation process usually ends with enormous dissatisfaction because the super winner in the first step means nothing in the second step, with tremendous waste or time and money. The problem has been clearly identified: systematic lack of consumer relevancy at the beginning of the technology innovation process.

CLLS once in use by internal detergency labs replaces the conventional process to one step. It provides innovation teams an ample set of consumer relevant dingy monitors with visual context and modern algorithms to predict consumer visual perception under myriad of visual scenarios keeping the natural variability that characterise the real market. Technologies are discern according to theri something unexpected performance in the complex interaction between consumers and scenarios.

How CLLS positively influences laundry businesses?
... because consumers and scenarios occupies the centre stage

Laundry business is really about winning positive consumer experiences created by products and brands. Successful products in this highly competitive market are offering improved sensory experiences to demanding consumers whom perceive product benefits easily and consistently.

But nowadays competition is fierce, with an accelerated commoditisation of products and services, increasing price wars, and shrinking profit margins. The executives number one concern "sustained and steady top-line growth," can not possible be supported by existing low-productive innovation models. Today development and product introduction efforts in the consumer products industry are urged to accelerate the pace of innovation, with different cost structures, in a different time frame, being collaborative with external sources, and more importantly, are compelled to design products and technologies that offer superior perceived consumer value in line with benefits delivered by brands. In short, R&D has to develop affordable products/technologies with the ability to improve sensory experiences in consumer terms, fast and with less money, i.e. to develop better and cheaper products with a systematic focus on productivity. But, is that possible? how to execute this? ....That is the R&D challenge!!

CLLS is in line with business model based on innovative developments focused on consumer and actual realities, and provides a competitive advantage because it reduces time and cost of the technology innovation process.

What means in consumer relevant terms?
... it means that detergency labs can include the variability of consumers and scenarios

CLLS provides the opportunity to include consumer realities at the beginning of the innovation journey, not at the end. The experimentation matrix includes:

Selection of white commercial substrate fabrics that contains fluorescent whitening agents from textile mills

Set of clean, soiled, stained and coloured dingy test fabrics according to more than ten (10) regional laundry markets. Stained areas and coloured areas include adjacent dingy fabrics

Ample selection of actual source of illumination at relevant laundry market scenarios, outdoor and indoor, natural and artificial, and mixtures, with different UV relative content and illuminance.

Consumer ages between 20 and 60 years, variable parameters for field size, lens density, macula optical density, photopigments optical density, and photopigments lambda maximum shift. Individual colorimetric observer models.

Selected different visual contexts and surrounding as a basis to perform modern numerical calculations of colour attributes

Set of colour differences sensitivities with a different degree of lightness, chroma and hue influences, in line with different sensitivities to perceive cleanliness and colour-care in the garment context

Group of whiteness preferences according to cultural and persistent white targets, in line with different lightness and colour opponency influences on whiteness perception

What is CLLS' performance?
... 4 to 6 more discern criteria to select among technologies in the area of cleanliness or whiteness

Colorimetric procedures and its results applied at detergency laboratories, which are most of the times the output of the software embedded in the 'black box' named spectrophotometers or similar devices, are not only very limited but usually obsolete in comparison with modern understandings in the areas of fluorescence spectroscopy and visual perception. That is totally understandable because equipments are not industry-specific. Usually final results are only applicable for non-fluorescent fabrics, assuming one non-existent standard observer under one theoretical visual scenario which evaluate cleanliness and whiteness with just one visual modality. That is the perfect scenario for false negatives.

On the contrary CLLS provide results using modern and advance colorimetric procedures in a useful to way to understand i.e. maps of consumer perceptual responses assuming a pairwise comparisons. Specifically it takes into account fluorescent fabrics that change according to the UV relative content of the source of illumination, consumer ages and eyes' conditions of world's consumer, various cleanliness and whiteness modalities according to life learning and culture, which in combination offers between 4 to 6 more opportunities to discern among technologies on the basis of predicted consumer benefit perceptions. Technologies now have the opportunity to show advantages not considered before.

How competitive is CLLS?
... highly, it saves time and money to innovation journey

Lack-of-relevancy laundry technologies, at the end will increment costs with no profits. Same consumer benefits perception can probably be achieved with less costly technologies mixed in creative balances.

CLLS replaces lab expenses on materials with no relevancy to consumer realities by other ones with high relevancy plus a collection of algorithms, with no extra cost, to predict different consumer useful responses at different visual scenarios.

How compatible is CLLS with Consumertec? Is it sustainable?

The unique integrated in-vitro and in-silico platform CLLS is the result of CONSUMERTEC, formerly DETERTEC, ample expertise in the worldwide laundry market. It is grounded in the following:

  • more than 30 years of conducting detergency test, using both conventional laboratory equipment and more importantly, consumer relevant washing process, including the use of customised diverse machine equipments and in-house equipments to mimic hand washing process with short and long strokes
  • more than 15 years in the field of advanced spectroscopy, including in-house design and fabrication of non-contact and contact spectrofluorimetric equipments based on fibre optics and CCD spectrometers
  • more than 12 years of preparation of dingy test fabrics with high relevancy to world's laundry practices including the realities of: China, India, Europe, USA, Latin America, Middle East and North Africa
  • more than 15 years using modelling techniques. Initially using the scripting capabilities of JMP/SAS software and currently with more universal languages like R and Python. Ample expertise on numerical models to represent consumer benefit perceptions like: garment cleanliness, garment whiteness, diaper yellowness, diaper bulkiness, among others
  • more than 7 years of conducting household experiential ethnography and consumer purchase behaviour experimentation, to interpret the link between consumer benefit perceptions and actions, and brand's purchases (brand's household penetration and purchase frequency)

CLLS is a proprietary sustainable innovation hold by CONSUMERTEC because it is line with our core academic dedication: fluorescence spectroscopy and the neurobiology of perception and action. Part of this dedication has been shared with the scientific community through more than 30 presentations around the world in the last 20 years. See Presentations and Papers.

Needs more details, explanations, examples?
Please contact us, we will be more than happy to explore ways to match platform features with your current procedures

Home | Contact Us