Pilla vs Pazo
Pazo positions itself as "AI Powered Visual Merchandising & Task Management". Pilla is AI workflow automation built for deskless teams — the people doing the work on their feet, not at a desk.
Compared against Pazo's own documentation · last verified Thu May 21 2026 00:00:00 GMT+0000 (Coordinated Universal Time)
The short version
- Choose Pilla if
- Pilla wins when the buyer wants **AI inside the workflow itself**, not just AI verifying images at one step.
- Choose Pazo if
- Pazo wins when the buyer's core problem is **store / location compliance with photo-led visual checks**.
At a glance
| Capability | Pilla | Pazo |
|---|---|---|
| AI automated action step | Yes | Yes |
| Photo input | Yes | Yes |
| Checklist | Yes | Yes |
| Location / clock-in input | Yes | Yes |
| Group team chats | Yes | Yes |
| Push notifications on new message | Yes | Yes |
| Public forms (external submissions) | Yes | Yes |
| MCP server (connect Claude / Cursor / other) | Yes | No |
How Pazo positions itself
Pazo presents itself as an AI-powered visual merchandising and task management platform for the frontline workforce. Its homepage leads with retail multi-store execution and brand consistency: a worker takes a photo, Pazo's AI verifies it against planograms and SOPs, and HQ gets compliance scores within seconds. Beyond retail, Pazo extends into facility management, hospitality, coworking and warehousing. The pitch is operational excellence at scale, with one mobile app replacing WhatsApp threads, paper checklists and spreadsheets. Customer logos lean enterprise (Bata, Jockey, Victoria's Secret, Sodexo) and the company quotes 17,000+ locations across 11+ countries.
When teams choose Pazo
Pazo wins when the buyer's core problem is store / location compliance with photo-led visual checks. Their AI image recognition for shelf and planogram audits is a deeply built capability — one shelf photo against a planogram, with AI scoring facings, OOS and misplacement, is hard to match. If the buyer manages dozens or hundreds of physical stores and the conversation is about VM compliance, planogram execution, sales-and-shelf alignment or restaurant/hotel inspection rigour, Pazo has industry-specific muscle. They also have a more mature retail communications surface (1:1, team, broadcast, file attachments, read tracking) than newer entrants.
When Pilla wins
Pilla wins when the buyer wants AI inside the workflow itself, not just AI verifying images at one step. Pazo's AI surface is essentially binary image evaluation (approve / reject a step) and an auto-issue rule engine; Pilla's workflows include AI briefings, AI decision trees, and an in-product chat agent that can reason across workflows and team data. Pazo is also opaque on developer surface area — no documented REST API page on gopazo.com, no MCP server, no SSO/SAML page, no public help centre. Buyers who want a public API, MCP integration, native Slack/Google/Shopify connectors, or an AI assistant that answers "how do I…" questions in plain English will find Pilla a cleaner fit.
Full feature comparison
How Pilla and Pazo compare across 72 capabilities. A dash means the feature is not documented on Pazo's own site.
| Feature | Pilla | Pazo |
|---|---|---|
Workflows | ||
| Recurring workflow templates | Yes | Yes |
| Ad-hoc workflow creation | Yes | Yes |
| Reusable workflow blueprints | Yes | Yes |
| Reusable element templates | Yes | Not documented |
| Custom tags & categories | Yes | Yes |
| Issue reporting on workflows | Yes | Yes |
| Activity audit trail | Yes | Not documented |
| Public template library | Yes | Yes |
| Public forms (external submissions) | Yes | Yes |
| CSV data exports | Yes | Yes |
| Bulk operations | Yes | Yes |
| Template impact analysis | Yes | No |
| Template analytics & insights | Yes | Not documented |
| Template version history | Yes | No |
Input Steps | ||
| Text input | Yes | Yes |
| Number input | Yes | Yes |
| Date input | Yes | Yes |
| Time input | Yes | Yes |
| Location / clock-in input | Yes | Yes |
| Checklist | Yes | Yes |
| Single-choice input | Yes | Yes |
| Multi-choice input | Yes | Not documented |
| Cascading select | Yes | Yes |
| Rating scale | Yes | Yes |
| Photo input | Yes | Yes |
| Video input | Yes | Yes |
| Audio note / input | Yes | Yes |
| File input | Yes | Yes |
| Signature input | Yes | Not documented |
Guidance Steps | ||
| Rich text guidance | Yes | Yes |
| Video guidance | Yes | Yes |
| Photo guidance | Yes | Yes |
AI Steps | ||
| AI context briefing step | Yes | No |
| AI decision gate step | Yes | Yes |
| AI decision tree step | Yes | No |
| AI automated action step | Yes | Yes |
Communication | ||
| In-app 1:1 direct messages | Yes | Yes |
| Group team chats | Yes | Yes |
| Team-wide broadcasts | Yes | Yes |
| Photo, video & file attachments | Yes | Yes |
| Threaded replies | Yes | Not documented |
| Emoji reactions | Yes | Not documented |
| @mention teammates | Yes | Not documented |
| Read receipts | Yes | Yes |
| Push notifications on new message | Yes | Yes |
| Messages linked to workflows | Yes | Yes |
In-app agent | ||
| Plain-English Q&A on how it works | Yes | No |
| In-product walkthroughs and tutorials | Yes | No |
| Saved chat history & resumable sessions | Yes | No |
| Cites help docs and source data | Yes | No |
| File feedback, bugs & feature requests from chat | Yes | No |
| Q&A on your workflows | Yes | No |
| Q&A on your team's performance | Yes | No |
| Q&A across connected integrations | Yes | No |
Integrations & API | ||
| Native integrations | Yes | Not documented |
| 100+ MCP integrations | Yes | No |
| Public REST API | Yes | Not documented |
| Outbound webhooks | Yes | Not documented |
| MCP server (connect Claude / Cursor / other) | Yes | No |
| IP allowlist on API keys | Yes | Not documented |
| Custom API rate limits | Yes | Not documented |
Administration | ||
| User roles (staff / manager / admin) | Yes | Yes |
| CSV user & team import | Yes | Yes |
| Tenant-isolated data | Yes | Yes |
| Account-wide audit logs | Yes | Not documented |
| Custom step run allowances | Yes | Yes |
| Annual step run pooling | Yes | Not documented |
| SSO & SAML | Yes | Not documented |
| SCIM provisioning | Yes | No |
| Dedicated success manager | Yes | Yes |
| Custom onboarding | Yes | Not documented |
| Service-level agreement (SLA) | Yes | Not documented |
Pricing
Pilla
£19+ / team / month
Free tier to start. Priced per team, not per seat, so every user is included.
Pazo
Custom
No free tier. Enterprise plan available.
Frequently asked questions
- Is Pilla a good Pazo alternative?
- Pilla wins when the buyer wants **AI inside the workflow itself**, not just AI verifying images at one step.
- What can Pilla do that Pazo can't?
- Checked against Pazo's own documentation, Pilla offers template impact analysis, template version history, aI context briefing step, aI decision tree step, and plain-English Q&A on how it works — none of which Pazo documents.
- When should I choose Pazo over Pilla?
- Pazo wins when the buyer's core problem is **store / location compliance with photo-led visual checks**.
- How much does Pilla cost compared to Pazo?
- Pilla starts free and is priced per team rather than per seat, from £19 per team per month with all users included. Pazo has no public free tier; paid pricing is quote-only.
Run your workflows where the work happens
Pilla brings AI workflow automation to deskless teams. Start free, no credit card needed.