WE MAKE
LOST FOOD
VISIBLE
THE PROBLEM - FOOD LOSS AT SCALE
UNFIT
FOR
RETAIL
Today, fruit & veg wholesalers and importers perform manual quality assessments for the continuous stream of incoming product batches.
Whenever these are qualified as ‘unfit for retail’ -meaning a critical percentage does not meet supermarket requirements for ripeness or beauty, the entire batch will usually be destructed. At a cost.
Whilst the grower does not get paid.
Globally, this ‘invisible’ food loss amounts to over EUR 350 BILLION. Every year.
THE SOLUTION
THE GOOD
NEWS
HOWEVER
is that approximately 50% of all imperfect fruit & veg is still of great (nutritional) value for alternatives to retail – being the upcycling industry- for products such as juices or jelly, dried foods, or supplements.
These processing companies are more than willing to purchase imperfect goods -provided certain quality requirements, rapid delivery, and the right price.
TiNDR FOR
IMPERFECT
FRUIT & VEG
You would almost argue that this ‘invisible food’ should be rescued -correct?
Well, that’s exactly what we do. We basically created Tinder for imperfect fruit and vegetables: a matching app based on a wish list. However, we decided to name it FiNDR. It enables three things:
01. QUALITY IDENTIFICATION
Through image recognition at the fruit & veg wholesaler, we identify the quality of each individual product, and accordingly create a quality report of the total batch.
02. OFFER CREATION
Supply – the analyzed imperfect product batches- is matched against demand – quality & volume specifications from the upcycling industry.
03. SCALE
Our technology enables that both processes run fully automated, which allows scaling at low incremental cost.
WHAT EXACTLY HAPPENS
01
IDENTIFY THE
MANGO’S
For example, a batch of 2 tons of mango’s is declared as ‘unfit for retail’ by our image recognition algorithm at the fruit & veg wholesaler’s warehouse.
Quality dimensions of each mango are measured, such skin defects, the state of ripeness, evt mold, etc
02
MATCH THE
MANGO’S
Within our market platform, the mango batch quality report is generating a supply offer, that is automatically matched against all active demand from the upcycling industries.
The best fit with quality status, price, volume and physical location is determined.
Our batch of 2 tons of mangos is matched with upcycler X, a juice manufacturer, willing to pay 69% of the current market price for the remaining shelf life.
03
DISTRIBUTE THE
MANGO’S
Today, our redistribution has generated an incremental revenue of EUR 1.970
Yesterday, the 2 tons of mangos would have been written off and destroyed at a cost.
Lost income and destruction cost would add up to EUR – 3.150
04
MONITOR THE
PERFORMANCE
The mango quality report appears in the BI analytics dashboard of the fruit & veg wholesaler, where both real-time and historical data are combined.
01. This enables fruit wholesalers to analyze, predict and optimize their commercial decisions.
02. Additionally, this dashboard summarizes all rescued C02 that we enabled for the fruit wholesaler – by preventing food loss.
WE CAN DELIVER
NEVILLE MCHINA
CEO & FOUNDER
PAULESKA ZEE
PRODUCT OWNER
JAAP DONKER
ENGINEERING CONS.
DENIZ HOFMEISTER
MACHINE LEARNING
LEO DESMEDT
BUSINESS DEV.
CHRISTIAN BLOMBERG
BUSINESS DEV.
OUR INVESTORS
PAVING THE WAY FOR PURPOSE DRIVEN FOUNDERS
We invest in ambitious founders with groundbreaking visions for a regenerative and sustainable future.
MAKING A DIFFERENCE BY DOING THINGS DIFFERENTLY
We will play a key role for entrepreneurs who take the lead, who think differently about prosperity and well-being, and therefore act differently – disruptively, with an ideal.
OUR IMPACT AMBITION
WHOLESALE
Determining the exact composition of product batches that previously were labeled as ‘unfit for retail’ -and thus destroyed entirely at incremental costs- offers significant value for fruit & veg wholesalers.
More concrete, it instantly facilitates alternative market income from upcyclers as well as several manufacturing industries.
RETAIL
Today, retailers benefit from the elevated quality inspections that we enable at the wholesaler stage. As a consequence, we’re confident to provide equal relevance at retail level.
Knowing exactly which individual items are now ‘perfectly ready to eat’ -or will arrive at that stage coming Saturday- will enable fewer write-offs, improved consumer experience, and higher loyalty.
AGRICULTURE
Our aggregated predictions based on historical and real-time data, as well as detailed harvest analyses on the spot, will allow for smarter decision-making by farmers in their distribution choices.
Moreover, our digitization process will provide complete value transparency of shipped products and accordingly: fair compensation to all involved in the supply chain.
