The combination of newQC quality inspection with our non-destructive FreshScan handheld food scanner gives QC teams the data depth to catch ripeness problems before they reach the shelf.
This is:
- A batch-specific non-destructive measurement tool for the ripeness and shelf-life of fruits
- A use-case description how we detected a too early seasonal supply change within one week
- A short overview of the related business figues
Key results:
- 90% reduction in destructive testing — product preserved, waste reduced
- Measurements take only 35%of the time AND cover 6 parameters with a single measurement
- Early-season sourcing correction spotted from accumulated scan trends — REWE Langel, 2021
This is not
- an automatic replacement for documentation of defects that lead to the rejection of cargo. Here the signature of a trained quality specialist is still needed.
- an out of the box solution. The specific customers requriements regarding fruit ripeness need to be taken into account.
What you can do next
- run a two-week feasibility demo on one product category and one use case
- scope a three-month pilot around a defined monitoring and decision-support workflow
- review data availability, governance, and integration effort for a practical implementation path
USE CASE — INCOMING GOODS QUALITY INSPECTION - EXTENDED
The Challenge
Ripeness is the single most important quality attribute for the taste of tropical fruit — and the hardest to assess consistently at goods receipt.
Traditional incoming inspection relies on destructive sweetness measurements: a small sample is cut open, only one or two parameters are tested, the remains are discarded. The result is a single data point from a handful of fruits, taken once, by one inspector.
This approach has three structural weaknesses:
- It destroys product to generate data.
- It typically measures only one parameter — sweetness or firmness — when ripeness is much more complex.
- It produces no trend data. A single snapshot cannot detect gradual shifts in quality across a sourcing season or a supplier change.
The newQC Approach
newQC replaces single-parameter destructive spot-checks with multi-parameter non-destructive scanning.
Each incoming pallet is measured using a portable NIR scanner. Results are captured digitally and stored against the shipment record — creating a quality data trail that accumulates over time.
Parameters measured per fruit:
- Sweetness (Brix)
- Acidity
- Juice / water content
- Firmness
- Ripeness index
- Remaining shelf-life
What this enables:
- Trend detection across deliveries and seasons
- Early identification of underperforming lots before they enter the supply chain
- Data-driven conversations with suppliers based on objective measurements
Targeted use of accredited destructive testing only where the scanner flags a concern
Field Validation — REWE Distribution Centre, Köln Langel
FRESHANALYTICS RESEARCH PROJECT — BMWi FÖRDERPROGRAMM “SMARTE DATENWIRTSCHAFT”
The newQC scanner was deployed in daily operational use at REWE’s Langel distribution centre from June to August 2021, as part of the publicly funded FreshAnalytics research consortium (Förderkennzeichen 01MD19009A-F), led by tsenso GmbH.
| Measurements per inspection — before | 10 (destructive, only brix) |
| Measurements per inspection — with newQC | 25 (non-destructive, 6 parameters) |
| Reduction in destructive testing | 90% |
| Parameters assessed per fruit | 6 (sweetness, acidity, juice content, firmness, ripeness, shelf-life) |
The 10% of destructive tests retained were applied precisely where scanner data flagged potential non-conformance — producing legally defensible rejection evidence where it was needed. The scanner determines where accredited testing is applied, not whether it is required.
What the Data Revealed: An Early-Season Sourcing Correction
During the validation period, weekly review of accumulated scanner data identified a consistent pattern: early-season Brazilian-origin mangos were showing underperforming ripeness indices across multiple consecutive deliveries.
This trend was not visible through conventional spot-check inspection. Individual shipments passed standard incoming checks. Only the accumulated scan data — reviewed in the context of the full season’s trend — made the pattern detectable.
The finding was raised with the retail QC team in a regular data review meeting. A sourcing correction followed: ordering was adjusted before the underperforming lots could accumulate on the shelf.
| BEFORE
Individual shipments pass standard incoming checks. Ripeness decline across a sourcing season is invisible until consumer complaints or markdown rates increase. |
WITH newQC
Accumulated scanner data across deliveries surfaces ripeness trends. Underperforming lots are identified at the data review stage — before they reach the shelf. |
Business Impact
- 90% reduction in destructive testing — product preserved, waste reduced
- 5× more measurements per inspection, 6× more parameters assessed
- Trend-level visibility across sourcing seasons and supplier changes
- Early-season ripeness failure identified before ordering commitment was extended
- Accredited destructive testing retained and targeted where it matters
Applicable Products
The newQC scanner has been validated for non-destructive quality assessment across the following fresh produce categories:
- Apples — sweetness, acidity, juice content, firmness, ripeness, shelf-life
- Mangos — sweetness, acidity classificator , juice content, firmness, ripeness, shelf-life
- Table grapes — sweetness, acidity, juice content, firmness, ripeness, shelf-life
- Peaches — sweetness, acidity, juice content, firmness, ripeness, shelf-life
- Blueberries — sweetness, acidity, juice content, firmness, ripeness, shelf-life
- Avocados — firmness and dry matter content
- Citrus (mandarins, clementines, oranges) — sweetness, acidity classficator, juice content
Related pages
Related pages: newQC and FreshScan applications · Expertise: Food Science, Robust Decisions from Limited Data.
Discuss Your Use Case
Whether your challenge is seasonal sourcing variability, inconsistent ripeness at goods receipt, or the need to reduce destructive testing without losing quality confidence — we can assess whether newQC is a fit for your operation.