Category and shelf auditing for share of shelf, distribution, range, promotional activity, availability, displays and competitor visibility.
- Image-based shelf and display capture
- Brand, product and facing analysis
- Retail dashboards and reporting
Retail image recognition · Field data · Practical automation
Dtex builds practical image-recognition and data collection systems for retail, merchandising and consumer goods teams. We help capture what is happening in store, process it reliably, and turn it into information people can actually use.
Store teams capture shelf, display and label images using guided app workflows.
Images move through detection, OCR, validation and data-matching pipelines.
Results are presented as usable retail measures, not piles of raw image data.
What we do
Dtex focuses on the hard middle ground between store execution, image capture, product recognition, data quality and reporting. Our systems are designed for real operators in real stores — including poor coverage, imperfect photos, changing packs, missing labels and the need to account for every image captured.
Products
Category and shelf auditing for share of shelf, distribution, range, promotional activity, availability, displays and competitor visibility.
Shelf label and price ticket capture for pricing, promotion and ranging checks. Built to reduce manual data entry and improve field audit consistency.
Operational workflow support for monitoring systems, managing incidents, coordinating fixes and keeping product work moving with clearer accountability.
Services
Alongside our own platforms, Dtex supports clients and partners with practical software development services where image capture, workflow, data processing or reporting are involved.
Android, iOS and cross-platform app development for field and operational use.
Clean internal tools, portals, admin panels and reporting interfaces.
Detection, classification, OCR, validation and data-matching pipelines.
Operational systems that help teams track issues, approvals, tasks and outcomes.
Approach
We design around store reality, not perfect lab conditions.
Every image and result should be traceable through the pipeline.
Start small, prove value, then scale what works.
Outputs need to be understandable by commercial and field teams.
Contact
Start with a short conversation. No inflated pitch deck required.