Checkout without barcodes. Shelf insights without delay.

The Challenge

Retail vision breaks when products don’t behave.
Retail environments introduce complexity:

• products without barcodes or with damaged labels

• visually similar items (different SKUs)

• changing packaging and layouts

• crowded checkout scenes

Traditional systems:

• rely on barcode scanning

• struggle with visual similarity

• require constant retraining

The Approach

We turned products into data - not just images.
NeuralSpike built a system where:

Instead of naive optimization, NeuralSpike:


1. Products are encoded as feature vectors.
Each product is represented by a rich numerical embedding.


2. Similar items are grouped automatically

   • new products can be added faster

   • system adapts without full retraining

3. Detection + classification run on-device

   • real-time recognition

   • no cloud latency

4. Same system supports multiple use cases

   • checkout

   • shelf analysis

   • product tracking

The Solution

One vision system. Multiple retail workflows.


Checkout without barcodes.

• detect products directly on the counter

• count and recognize items in real time

• support weighing and multi-item handling

Shelf intelligence

• detect product placement

• identify gaps and misplacements

• monitor planogram compliance

Performance Results

Fast, flexible, scalable.

• real-time inference on edge device

• robust recognition of similar products

• easy onboarding of new itemsel.

What this means

• faster checkout process

• reduced dependency on barcodes

• better shelf execution

Why it worked

Retail isn’t static. Your model shouldn’t be either.

Key innovation:

• representing products as high-dimensional feature vectors

• grouping similar items dynamically

• reducing need for constant retraining

Result:
System improves scalability without losing performance.
Section: What this means for you

Retail vision that adapts as fast as your shelves change.

• faster deployment across stores

• easier product updates

• consistent performance in dynamic environments