Shoplifting and organised retail crime hurt New Zealand retailers, staff, and communities. Stores need more than CCTV and a pile of incident notes. That is where auror comes in: a New Zealand–born crime intelligence platform that helps retailers spot patterns, act fast, and work better with police. This guide explains what auror is, how it works, when it fits, and what to watch for—so you can make a confident, practical decision.
What is
Auror is a cloud-based retail crime intelligence system. It lets frontline staff record incidents in minutes, links related events across stores, and turns those links into real-time alerts and actionable cases. Unlike a basic incident log, auror connects the dots: people, vehicles, locations, methods, dates, and losses. It is used by large and mid-sized retailers in New Zealand and overseas to reduce theft, aggression, and fraud, and to support safer stores.
Think of it as shared brainpower for loss prevention. Each incident adds a puzzle piece. Auror helps assemble the picture so teams can focus on the highest-risk offenders and organised groups rather than chasing one-offs.
How it works
Core workflow
- Incident capture: Staff submit a short report on desktop or mobile—what happened, when, where, items, value, behaviour, and any images.
- Linking and enrichment: The platform suggests links to previous events based on patterns such as time, location, items, vehicles, and descriptions.
- Real-time alerts: When a repeat offender or vehicle is identified, nearby stores receive alerts so they can prepare and prevent harm.
- Case management: Multiple linked incidents roll up into an organised case with timelines, evidence, and notes ready for escalation.
- Collaboration: Security teams and investigators can share updates, assign tasks, and prepare police-ready briefs.
- Insights: Dashboards highlight hotspots, top repeat offenders, common methods, and ROI on interventions.
Integrations that matter
- Point-of-sale and refund data to spot fraudulent returns or under-ringing patterns.
- CCTV and video bookmarks to attach clear evidence to incidents.
- Automatic number plate recognition (ANPR) cameras for drive-off and vehicle-based offending, where lawful and appropriate.
- Single sign-on and HR systems to manage access and ensure only the right people see sensitive data.
Privacy and security for New Zealand
Retailers using auror remain responsible for compliance with the Privacy Act 2020 and guidance from the Office of the Privacy Commissioner. Practical good practice includes clear signage for CCTV, purpose-limited data use, role-based access, and defined retention periods. The platform is built with audit trails, permissions, and controls to support those obligations. Before going live, most organisations run a privacy impact assessment and confirm data hosting, encryption, and vendor certifications.
Types / examples
Common retail use cases
- Repeat shoplifting: Flag and alert on patterns across a region.
- Organised retail crime: Link boosters, handlers, and methods across many incidents.
- Refund and coupon fraud: Surface suspicious behaviours through POS data.
- Fuel drive-offs: Associate vehicle plates with incidents and alert nearby sites.
- Violent or abusive behaviour: Record safety incidents and support trespass or escalation plans.
Example day-in-the-life scenario
- A team member records a quick incident after a pushout theft—two minutes, a few photos, item list, and a plate number.
- Auror links the plate to three similar events at nearby stores, all within a week.
- Neighbouring stores receive an alert with images and a summary of the MO (method of operation).
- Loss prevention opens a case, assigns tasks, and packages evidence for police.
- Police receive a clear brief with dates, values, video stills, and witness notes, improving the chance of action.
Industry examples in New Zealand
- Grocery: Coordinated alerts reduce repeat pushouts during high-risk evening windows.
- Pharmacy: Links show a trend of razor and cosmetics theft tied to a single vehicle.
- Fuel: Drive-off cases roll up by plate and vehicle colour, reducing time to recover losses.
- DIY/hardware: Bulk tool thefts are mapped to weekend spikes, prompting roster and patrol changes.
Pros and cons
Benefits
- Network effect: The more stores that contribute incidents, the better the intelligence.
- Speed: Short, guided reporting saves time on the shop floor.
- Prevention: Real-time alerts help staff prepare and deter offending safely.
- Better cases: Structured evidence packages improve the quality of police referrals.
- Visibility: Clear dashboards show what is really happening, not just what gets talked about.
- Consistency: Standardised incident capture reduces gaps and bias.
Limitations
- Cost: A subscription and change effort are required; ROI depends on adoption.
- Training: Frontline engagement is essential—without it, the data weakens.
- Data quality: Incomplete reports or mislabelled incidents reduce linking accuracy.
- Privacy risk if misused: Strict governance and access controls are non-negotiable.
- No silver bullet: It complements, not replaces, good staff practice and safe store design.
How to use or choose
Step-by-step rollout plan
- Define outcomes: Agree on clear goals (reduce repeat theft, cut drive-offs, improve staff safety reporting).
- Run a privacy impact assessment: Map data flows, retention, and access controls to the Privacy Act 2020.
- Engage stakeholders: Loss prevention, store ops, IT/security, privacy, and your insurer.
- Pilot a few stores: Test incident capture, alerts, and case handovers in real conditions.
- Train simply: Short, scenario-based sessions for frontline staff and store managers.
- Integrate systems: Connect POS, SSO, and CCTV where possible to cut manual work.
- Measure weekly: Track adoption, incident quality, alerts actioned, and outcomes.
- Tune and scale: Fix friction points, update playbooks, then expand by region.
- Close the loop with police: Share consistent, high-quality briefs; gather feedback to improve.
Selection criteria for New Zealand retailers
- Proven fit for your format: Grocery, fuel, pharmacy, or DIY each have different patterns.
- Ease of use: Can a busy team member file a quality incident in under three minutes?
- Privacy and security: Data hosting location, encryption, access controls, and audit trails; relevant certifications (e.g., ISO 27001).
- Integration depth: POS, CCTV/ANPR, SSO, HR systems, and export formats for police.
- Alert quality: Are alerts accurate, timely, and not overwhelming?
- Analytics that matter: Hotspots, repeaters, MO trends, and prevention impact.
- Support and training: Local or ANZ support hours, onboarding materials, and refresher modules.
- Total cost: Subscription, integrations, change management, and internal time.
- Vendor transparency: Clear statements on biometrics, data sharing, and law enforcement access.
Comparison: auror vs common alternatives
| Criteria | Auror platform | Spreadsheets & email | Generic incident tool |
|---|---|---|---|
| Incident capture speed | Guided forms; minutes per report | Slow, inconsistent; often skipped | Varies; often not retail-specific |
| Linking related events | Automatic suggestions across network | Manual and error-prone | Basic search; limited patterning |
| Real-time alerts | Yes; configurable by store/region | No | Sometimes; rarely tuned for retail |
| Case management | Purpose-built for ORC investigations | No | Generic case fields; limited |
| Police-ready briefs | Evidence packages and timelines | Manual collation, inconsistent | Export possible; may need heavy edits |
| Integrations | POS, CCTV/ANPR, SSO | None | Some; often custom work |
| Privacy controls | Role-based access, audit logs | Weak; hard to monitor use | Basic roles; limited auditing |
| Network effect | High—shared intelligence | None—each store is siloed | Low—no shared retail network |
| Total cost of ownership | Subscription; high ROI with adoption | Cheap but costly in lost outcomes | Mid; risk of poor fit for retail |
FAQ
What is auror in simple terms?
Auror is a retail crime intelligence platform that helps stores record incidents fast, link repeat offenders, send alerts to nearby sites, and build strong cases for police.
Is auror legal to use in New Zealand?
Yes—when used with a lawful purpose and good privacy practice under the Privacy Act 2020. Retailers should run a privacy impact assessment, use clear signage, control access, and set retention periods that match the purpose.
Does auror use facial recognition?
Auror does not need facial recognition to deliver value. It focuses on incident data, patterns, and collaboration. Retailers should confirm feature sets and ensure any use of biometrics aligns with New Zealand privacy guidance and internal policy.
Is auror only for big retailers?
No. While large networks benefit most from the network effect, regional chains and smaller groups can also get value—especially fuel and convenience where repeaters are common.
How fast can we see results?
Many teams see early wins within weeks if frontline reporting is consistent and alerts are actioned. Bigger reductions come as the network grows and store playbooks improve.
How much does auror cost?
Pricing varies by size, features, and integrations. Factor in subscription fees, onboarding, and change management. Compare the cost to the measurable impact on shrink, staff safety, and investigation time.
What data does auror collect?
Typical inputs include incident details, items and values, images or video clips, times, locations, and where lawful, vehicle plates. Access is limited to authorised roles with audit trails.
Will police actually use the cases?
High-quality, well-structured briefs are more actionable. Auror’s format helps, but outcomes still depend on local priorities and evidence. Consistency across linked incidents improves the chance of action.
Is this the same as the aurora australis?
No. The aurora australis is the southern lights. Auror is a retail crime intelligence platform. The similar spelling causes confusion in searches.
What if our stores already have great CCTV?
Keep it. Auror complements CCTV by giving context, links, and alerts, and by packaging video and evidence into cases instead of leaving them in isolated systems.
How do we avoid privacy missteps?
- Be clear about purpose: preventing and investigating retail crime.
- Use role-based access and audits.
- Train staff on respectful, lawful reporting.
- Set and follow retention rules.
- Respond to information requests per OPC guidance.
Final thoughts
auror turns scattered retail incidents into shared, usable intelligence. For New Zealand retailers facing tighter margins and rising aggression, that shift matters. If you pair the platform with simple training, strong privacy practice, and clear playbooks, you will spend less time chasing one-off thefts and more time preventing the next one.
