StochasTick Labs

PackStream

AI-powered waste intelligence for single or multi-site operations. PackStream gives businesses the visibility to map material flows, monitor waste streams and make evidence-based decisions — from the loading bay to the skip.

Two modules. One platform. Deploy what you need.

PackStream Flow

Know what comes in. See where waste begins.

A mobile-capture and computer vision platform that creates a digital twin of goods-inward packaging and material flows. Flow maps incoming packaging by material type, supplier, location and process step — from receipt through unpacking to waste generation and disposal.

Who it's for

Single or Multi-site businesses with complex supply chains, high packaging variability and limited visibility of what materials enter and exit each site.

Capabilities

  • Mobile capture with on-device computer vision and barcode scanning
  • Automated packaging classification — cardboard, plastic, hazardous items etc (classess customisation available for specific material focus)
  • Procurement data matching and supplier attribution
  • Calibrated quantity estimation with operational learning over time
  • Dashboards — material volumes, waste hotspots, supplier packaging intensity
  • Supplier engagement packs and reporting
  • Works with procurement CSV exports from day one — no deep enterprise integration required

How It Works

Staff use a dedicated capture device at goods-in. Each delivery is a short capture-and-confirm step, not continuous data entry. Repeat deliveries build packaging profiles that get faster and more accurate over time. The workflow handles variable supply-chain behaviour, non-uniform packaging and inconsistent supplier documentation.

Technology

Edge-first architecture. On-device inference, barcode scanning for procurement matching, local queueing for unreliable connectivity, cloud analytics and reporting.

Outcome

Quantify what arises and where. Identify opportunities to design out waste, increase reuse, standardise packaging and consolidate common materials. Build an evidence base for supplier engagement and circular procurement.

PackStream Monitor

See what goes where. Continuously. Privately.

A self-contained edge vision system that monitors waste and recycling containers using AI — detecting contamination, fill levels and sorting errors continuously, without identifying individuals. Built with Privacy by Design.

Who it's for

Businesses managing external waste compounds, where manual monitoring is impractical and contamination drives cost.

Capabilities

  • AI-powered detection of bin fullness, contamination events and material types
  • Privacy-safe by design — persons redacted on-device before any data leaves site
  • Container-state visibility and contamination heatmaps
  • Overflow alerts and collection optimisation insights
  • Intervention tracking for targeted training, signage and workflow changes
  • PackStream-supplied hardware for rapid deployment and scaling
  • Designed for outdoor environments with variable weather and lighting

How It Works

A compact edge unit ingests camera feeds, runs inference locally and uploads only anonymised event metadata and evidence. Non-technical sustainability and operations teams get usable dashboards showing when containers are contaminated, when collections happen while bins are half empty or automated bin collection trigger, and where overflow risk concentrates.

Technology

Edge-first architecture. On-site processing, privacy-safe redaction before evidence handling, anonymised event upload, and cloud analytics, reporting and continuous learning.

Outcome

Reduce contamination-driven costs, optimise collection scheduling, improve recycling quality, strengthen compliance evidence and build a practical basis for rollout across a wider site network.

Interested in a pilot?

PackStream is designed for rapid deployment. We can scope a pilot for a single site in weeks, not months — then scale across your network.

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