
NN-FMCG
LiveEvery visit, audit-ready proof
Did this visit really happen?
Photos can only be taken at the store, with the app's live camera; the gallery is locked. Shots older than 15 minutes or taken more than 300 metres away are rejected on the spot: fake visits don't get through.
- field users
- 450+
- points of sale
- 100k+
- visits on record
- 30k+
- for a 16,000-document monthly evidence pack
- ~2 min
Everything you need, in one product.
Instant Label Check
SoonThe label is checked as soon as the photo is uploaded, so the rep learns about a gap before leaving the store.
Traffic-Aware Routing
SoonThe day's tour is ordered and timed by real traffic at the departure time.
Leave and Advance Requests
SoonField team leave and salary advance requests, managed in the same app as visit tracking.
Purchase Requests
SoonField supply and product needs go from a catalogue request to an approved order.
Fleet
SoonMaintenance, mileage and cost of distributor and field vehicles, tracked in one place.
AI that does the work for you.
Stand compliance check
A vision model compares each stand photo with the brand's approved stand images and gives its verdict with a short reason: compliant, non-compliant or no stand.
Competitor-area label detection
The model looks at the full photo and a zoomed view of the top of the shelf to find the competitor-area label. Analysts correct a wrong result in one click, and every correction builds up calibration data.
Recycled photo detection
Identical files are caught by SHA-256, and cropped or re-saved look-alikes by perceptual fingerprints; blank and black frames are flagged separately. The same check also runs at approval time.
Scheduled scans
Scans run on their own through NN Schedule, every week for example, and never scan a photo twice. Progress is visible live, and a findings summary arrives by email after every run.
You feel the difference from day one.
Your field team can only shoot photos at the store, with the app's own camera; there is no room for gallery images, WhatsApp forwards or last month's shots. Approvers see far-away visits and photos already used in another visit before they decide.
Read more
AI scans every stand photo for compliance, the competitor-area label and reuse. When the audit comes, approved visits are ready as one ZIP per distributor, with every PDF sealed by SHA-256.
Who runs on NN-FMCG?
- FMCG, confectionery and beverage brands reaching thousands of traditional-trade stores through distributors
- Legal and compliance teams that must prove stand and display obligations to a regulator or partner
- Field sales organisations running hundreds of reps through chief, region manager and area manager layers
- Head-office teams tracking coverage, overdue points and rep performance on one screen
- Internal or external auditors who only need access to the evidence archive
Talks to your systems.
- DeepSeek vision model API
- NN Schedule (scheduled jobs)
- SMTP email
- Excel import and export
- Leaflet maps (CARTO, Esri, OpenStreetMap)
- Google Maps and Yandex navigation
- Server-side PDF rendering (Playwright)
- NNSimply portal single sign-on
Where it fits best.
FMCG field visit tracking
Your reps can only shoot photos at the store, with the app's own camera. Fake visits, gallery photos and lost forms are gone, and every approved visit becomes audit-ready proof.
Read moreAI shelf photo audit
Nobody can look at tens of thousands of photos by hand. NN-FMCG finds non-compliant stands, missing competitor-area labels and recycled shots with scheduled scans, and your team still makes the final call.
Read moreQuestions you might have.
What is NN-FMCG?
NN-FMCG is field visit and retail audit software for FMCG brands. Field reps prove every visit with in-app live camera, GPS and photo-age checks; AI reviews stand photos for compliance, labels and reused images; approved visits become SHA-256 sealed PDFs in a per-distributor audit archive. It is an offline-capable PWA.
What happens if the store has no internet?
The visit draft is kept on the phone. When the connection returns, submission resumes from the last completed step: visit, photos, form, then sending for approval. Each visit gets its ID on the device, so retries never create a duplicate record.
Is there a mobile app?
NN-FMCG runs as a web app (PWA) installed on the phone's home screen and updates itself, so there are no app-store reviews or version rollouts to manage. The interface is designed for phone, tablet and desktop.
Which AI service is used, and where do the photos go?
Stand compliance and label checks run through an external vision model API (currently DeepSeek), and photos are sent to that service during a scan. Reused photo detection runs entirely on our own servers with classic image processing. AI flags, and an authorised person always makes the final call.
Which languages are supported?
The full interface is available in Turkish, English and Russian.
How is it deployed?
NN-FMCG is offered as a cloud service running in Docker containers on NNSimply infrastructure. Your existing point-of-sale lists are imported from Excel, and team structure and evidence rules are set from admin screens. It can also be embedded in the NNSimply portal with single sign-on.
Works hand in hand with NN-FMCG.
Meet NN-FMCG today.
We will run a live 30-minute demo on a scenario close to your own data.
Let’s talk.
A Bimser project, a process or just a question: fill in the form and we get back to you the same business day.
- Address
- Bilişim Vadisi (IT Valley) Block 2B, Floor 2 No 245 Muallimköy, Gebze / Kocaeli, Türkiye
- Working hours
- Weekdays 09:00–18:00 (GMT+3)
