Gestualy

Turn real‑world reactions into structured metrics. With Gestualy, you mount a small camera near each counter, kiosk, or entrance, draw the capture zone in the app, and pick the signals you want to monitor—smiles, nods, thumbs‑up/down, neutral expressions, and more. Run the calibration wizard, watch the live preview, and press Start. From that point, the system reads nonverbal cues in well under a second and logs them without collecting personal identifiers. Roll out location by location, cloning configurations so every site follows the same rules and thresholds.

On a typical day, open the dashboard to spot sentiment by location, hour, and queue length. Use quick filters to compare front desk vs. checkout or to separate new from returning visitors (if consent is captured through loyalty check‑in). Create automated thresholds—e.g., three consecutive negative events triggers a Slack or Teams alert to the floor manager. When you run a promo or change a layout, tag the time window; Gestualy links spikes and dips to that tag so you can attribute impact. Supervisors add notes directly on the timeline, making sure context follows the data into reviews and stand‑ups.

At week’s end, export the PDF pack: heatmaps by zone, trend lines, and comparisons across teams or shifts. Recognition Tracking highlights where service delighted guests and where it lagged. Managers use this to schedule coaching, rebalance staffing, or confirm a new script is working. If you run consented face matching, the Facial Recognition module can deduplicate repeat guests or verify staff identity for internal kudos boards. Prefer full anonymity? Keep it in detection‑only mode and aggregate counts by time and place—no identities stored.

Administration is simple: choose your privacy mode (anonymous detection, hashed vectors, or opt‑in identification), set retention limits, and restrict access with roles. Connect webhooks or the API to push metrics to BI tools, pair outcomes with POS receipts, or trigger digital signage when satisfaction drops. Processing can run at the edge for low latency with offline buffering, then sync when the network returns. No forms to hand out, no tablets to sanitize—just fast, consistent signals that turn guest reactions into actions.