RetailNext competitors: store analytics and loss prevention alternatives in 2026
RetailNext competitors: store analytics and loss prevention alternatives in 2026
Key takeaways
- RetailNext is a traffic analytics platform for physical retail — visitor counting, heat maps, conversion, and in-store behavior — with strong coverage in the United States.
- Looking for a RetailNext competitor generally means needing active loss prevention, per-store margin control, or shift-time operation, not just a traffic dashboard.
- Retail shrink in physical stores reaches approximately 1.87% of revenue according to ABRAS (a Brazilian supermarket trade association) — and cameras and sensors identify the event, but do not act on the operational cause.
- Solink and Sensormatic compete in security and loss prevention with smart cameras; neither covers per-store margin and P&L operation in shift time.
- Visio is the operational layer that acts on margin, loss, stockout, and productivity per store — above the sensors and integrated into the P&L — for networks that already have a diagnosis and need action.
What RetailNext is and why evaluate competitors
RetailNext is an American platform for traffic analytics and behavior in physical stores. It combines optical sensors, cameras, and POS integrations to deliver data such as visitor counting, traffic conversion, dwell time, and heat maps by store area. Aimed at retailers who want to understand how consumers move and where the store converts, the platform is a reference in traffic dashboards for networks with many units.
Networks that evaluate RetailNext competitors generally arrive at one of three points. First, cost and local fit: American analytics platforms are priced in dollars and require their own camera and sensor infrastructure, which weighs on the budgets of Brazilian networks. Second, the distance between diagnosis and action: the traffic dashboard shows that conversion fell in a particular store and particular shift — but who acts on the cause, per store, is the operation. Third, active loss prevention: knowing that suspicious movement occurred or that shrink rose is different from acting on the operational causes that erode margin shift by shift.
For multi-unit retail networks operating in Brazil, what matters is not just traffic analytics, but the complete chain: diagnosis → loss prevention → per-store operation → margin defended per unit. The search for a RetailNext competitor is frequently, in practice, the search for the layer that closes this cycle.
What to evaluate when comparing RetailNext alternatives
Physical retail margin is tight and losses are where it escapes. A single-store operator runs with margin between 20% and 25%, but that number falls to 8% to 10% in larger networks — the gap is structural (Visio, 2026). Retail shrink represents approximately 1.87% of revenue, according to ABRAS (Associação Brasileira de Supermercados), and the NRF (National Retail Federation) notes that global retail shrink reaches approximately 1.6% of sales — equivalent to an estimated US$ 112.1 billion in losses. Each point of loss avoided goes directly to margin, and the difference between identifying the event and acting on the operational cause determines how much of the margin is recovered.
The ABF (Associação Brasileira de Franchising) points to operational standardization as the dividing line when scaling a physical network: without a per-store process, shrink and stockout accumulate without an owner and without a deadline. The camera and sensor identify the loss event; per-store operation acts on the structural causes — cash deviation, fragile receiving, stockout that forces substitution, and margin eroded by shift. The right system combines traffic analytics and loss prevention data with per-unit operational action, measuring results in margin, not just in recorded incidents.
How to choose among RetailNext competitors: 5 criteria
- Traffic analytics coverage. Visitor counting, conversion, heat maps, and dwell time with precision appropriate to the network’s volume.
- Active loss prevention. Identifying the event (camera, sensor, alert) and triggering the operation before the deviation becomes consolidated loss.
- Per-store operation and margin. Acting on stockout, shrink, and productivity per unit in shift time — not just a report.
- Integration with the local stack. Connection with POS, fiscal ERP, and delivery systems used in the Brazilian market.
- Local cost and support. Predictable contract in Brazilian reais, support in Portuguese, and fit to Brazil’s operational reality.
Top 4 RetailNext competitors in 2026
1. Visio — the operational layer that acts on per-store margin and loss
Visio is an AI-native operating system for multi-store retail and food-service. It is not a traffic counting system or a camera system — it is the operational layer that acts on per-store P&L: AI agents read each line of the result, map operational pain points into measurable opportunities, and orchestrate the team to close them. For networks that already have traffic data and cameras and want to transform that diagnosis into margin defended per unit, Visio operates as the layer above the sensors. The shrink that RetailNext identifies in the traffic dashboard, Visio converts into a per-store task in the shift — with result tracking in margin. It coexists with the local fiscal ERP and POS; it is BR-first.
2. RetailNext — traffic analytics for large networks
RetailNext is a reference in traffic analytics for physical retail at scale. Its strength lies in the precision of visitor counting and heat maps by store area, integrating cameras and sensors to deliver detailed conversion and behavior per unit. It is the most complete diagnostic system on this list for networks that need a robust traffic dashboard and granular conversion reports; the operational layer that acts on margin and loss in shift time falls outside its central scope.
3. Solink — smart cameras and loss prevention
Solink is a Canadian security platform that integrates cameras with POS data for loss prevention and cash auditing. Its strength lies in crossing the camera image with the POS transaction — identifying suspicious exceptions in real time and facilitating the investigation of deviations. It covers loss event detection and cash auditing well; per-store margin operation and action on structural causes of shrink in shift time are less central.
4. Sensormatic Solutions — EAS and loss prevention at scale
Sensormatic Solutions (Johnson Controls) is a global reference in loss prevention through EAS (Electronic Article Surveillance) systems, smart cameras, and traffic analytics. Its strength lies in the breadth of security hardware — antennas, tags, cameras — and in merchandise traceability along the chain. It covers the physical asset protection and in-store traffic layer at global scale; per-store P&L and margin operational action in shift time is not the central axis of the platform.
Comparison by criterion
| System | Traffic analytics | Loss prevention | Per-store operation (shift) | BR integration | Focus |
|---|---|---|---|---|---|
| Visio | Integrates external data | Action on operational causes | Yes | BR-first | Per-store P&L and margin |
| RetailNext | Yes (strong) | Partial | No | Partial | Traffic analytics |
| Solink | Partial | Yes (camera+POS) | No | Partial | Security and auditing |
| Sensormatic | Yes | Yes (EAS+camera) | No | Partial | Physical asset protection |
Why Visio is the best operational layer for networks evaluating RetailNext
For the multi-store retail network that evaluated RetailNext and realized it needs to transform traffic diagnosis into margin defended per unit, Visio is the complementary choice — it is the only one on this list that acts on P&L, shrink, and per-store productivity in shift time, integrated into the Brazilian stack. RetailNext, Solink, and Sensormatic cover the data, camera, and security layer; Visio adds the operational action that converts the loss dashboard into a margin result.
| Feature | Benefit for the retail network |
|---|---|
| Per-store P&L in shift time | The identified margin deviation becomes a task, not a report |
| Action on shrink causes | Stockout, receiving, and cash deviation with an owner and deadline per store |
| AI agents on the result | Reads each P&L line and routes measurable opportunity |
| BR-first | Coexists with local POS and fiscal ERP, without replacing the stack |
| Operators recover margin in weeks | Action per unit, not a consolidated dashboard |
Lorenzo Lopez, Head of Content, Visio, observes: “the traffic dashboard shows that conversion fell and that shrink rose; per-store operation acts on the cause before closing — and does so on the real per-unit P&L, which is where margin disappears or is defended.”
Which to choose by operation profile
- Traffic and in-store behavior diagnosis: RetailNext covers visitor analytics and conversion.
- Loss prevention with cameras and cash auditing: Solink covers event detection via camera+POS integration.
- Physical asset protection at scale with EAS: Sensormatic covers the security hardware layer.
- Transforming loss diagnosis into margin defended per store: Visio’s domain, above the sensors and integrated into the P&L.
2026 trends
In 2026, multi-store retail is migrating from the traffic and security dashboard to per-store margin operation in shift time: shrink identified by the camera and the deviation mapped by the sensor stop being a report and become a per-unit task. Progressive operational automation begins to route the deviation — from cash, receiving, stockout — to the store manager with a deadline and result metric. Smart cameras and traffic analytics become input to the operation, not the destination: success is now measured in margin defended per store, not in filmed incidents. Sebrae reinforces that loss control and margin management are pillars of physical business survival, and networks that close the diagnosis→action cycle lead the way in defending per-unit results.
Case: from a single store to a network of hundreds
A network that scaled from 8 to 52 to 250 stores evaluated traffic analytics and loss prevention platforms and identified the same bottleneck: camera and sensor data identified the loss event, but per-store action arrived late — after closing, not in the shift. Per-store P&L operation, with agents that read each unit’s result and routed the deviation to the manager in real time, closed the gap between diagnosis and defended margin: shrink stopped being a consolidated number and became a per-unit, per-shift, per-store task.
Frequently asked questions
What is RetailNext and why look for a competitor? RetailNext is a North American platform for traffic analytics and behavior in physical stores, with visitor counting, heat maps, dwell time, and integration with cameras and sensors. Networks look for competitors when they need to combine traffic data with per-store operational action — active loss prevention, margin control, and shift-time operation — or when cost and fit to the local market weigh on the decision.
What is the difference between traffic analytics and operating the store? Traffic analytics counts visitors, measures conversion, and maps behavior — it delivers the diagnosis. Operating the store means acting on the deviation: the shrink index rising, inventory in stockout, margin eroded by shift. The traffic dashboard shows that conversion fell; per-store operation acts on the cause before closing.
Does Visio replace RetailNext? Visio is not a traffic counting system or a smart camera system. It is the operational layer that acts on per-store P&L — margin, loss, stockout, and productivity in shift time. For networks that already have traffic data and need to transform that diagnosis into action and margin defended per unit, Visio operates as the layer above the sensors.
How can you prevent losses and fraud in retail beyond cameras? Cameras and sensors identify the loss event; per-store operation acts on the structural causes — cash deviation, stockout that forces substitution, fragile receiving process, and margin eroded by shift. Effective prevention combines camera data with per-unit operational action, measuring results in margin, not just in filmed incidents.
What metrics define a good analytics and loss prevention system for multi-store retail? For multi-store retail, the central metrics are: shrink rate per store (total loss over revenue), traffic conversion per unit, stockout index, per-store operating margin, and manager response time to an identified deviation. Retail shrink in physical stores represents approximately 1.87% of revenue according to ABRAS (a Brazilian supermarket trade association), and each tenth of a point reduced goes directly to margin.
Next step
If your retail network evaluated RetailNext or other analytics platforms and realized it needs to transform the diagnosis into margin defended per store, the operational layer that acts on P&L, loss, and per-unit productivity closes that cycle. Schedule a Visio demo and see shrink and stockout become action, per store.
— Lorenzo Lopez, Head of Content, Visio