A leading outdoor advertising network charged identical rates across every billboard in their portfolio — regardless of audience size. The market accepted it as normal. It wasn't normal. It was a measurement failure.
Every billboard location cost the same flat daily rate — whether it delivered 19,201 daily impressions in the city's busiest square, or 250 in a peripheral zone 10km from the centre.
Result: Premium locations were massively underpriced. Low-traffic locations never sold because they were massively overpriced. Money left on the table in both directions.
Our anomaly detection models flagged the pricing gap. Our clustering analysis grouped locations into four natural tiers based on verified footfall data. Our decision engine recommended specific price points for each tier.
Key insight: Premium locations charge MORE and sell MORE days because data proves their value. Value locations finally sell by becoming affordable to local businesses.
This wasn't an anomaly. It was the baseline. Every market without verified data has the same problem at the same scale.
DRITA+ processes raw signal through six analytical models and surfaces the result as a spatial intelligence layer — map-centric, lens-switchable, decision-ready.
Open-source infrastructure (OSM, Open-Meteo, GTFS), telco movement pipelines, and client-provided datasets. Every source labelled — modelled vs. measured, open vs. proprietary.
Six analytical models process the data simultaneously — anomaly detection, forecasting, clustering, regression, correlation, and decision engine.
Choose the analytical lens that matches your question. Each lens overlays its insights directly onto the map — spatial context is never lost.
The decision engine synthesises all models into clear EXPAND / MONITOR / INVESTIGATE recommendations. No guesswork. Just signal.
Each model runs continuously, feeding the Intelligence Hub. Apply them as lenses over the map, or drill into full analysis when you need the detail.
Albania's national smart city deployment covers 20 cities. It does not include pedestrian-level footfall intelligence. DRITA+ fills that gap — giving municipalities, ministries, and planners the ground-truth movement data that turns infrastructure decisions from political guesswork into evidence-based policy.
→ Tirana Municipality · Ministry-level procurement · 61 Albanian municipalities
Data Boundary: Data stays on-prem · Sovereign deployment · Audit logging
Enterprise teams need decision intelligence that plugs into existing systems, governance, and regional operations. DRITA+ runs inside your private environment so analytics move faster while your controls stay intact.
→ Regional developers · Cross-border investors · Telco operators
Data Boundary: Data stays in your private environment
Commercial operators need speed: fast onboarding, instant benchmarks, and exports leadership can act on immediately. DRITA+ managed SaaS gives your teams a ready signal stack without infrastructure overhead.
→ OOH networks · Retail chains · Franchise operators entering the market
Data Boundary: Managed SaaS
The models have run. The numbers are in. Here is what the data shows.
"In a study of 41 Albanian SMEs, the correlation between data intelligence adoption and business performance was confirmed across every single metric — operational efficiency, profitability, process optimisation, and market growth."
DRITA+ is a tech company, not a platform imported from elsewhere and adapted. The models are trained on local data. The seasonality parameters reflect how Albanian cities actually behave. The infrastructure is homebrewed — open-source foundations built into something that understands this market specifically, because the team is from it.
The data layer is being built market by market, starting where we know it deepest. Each expansion adds a new calibrated dataset, locally validated models, and a denser regional intelligence network.