From shift pressure
to clear action.
ShiftPilot is the AI co-pilot for frontline shift managers. It reads live signals across queues, staffing, tasks and stock — then tells the manager exactly what to do next.
- 0–100
- Live pressure score
- 1 tap
- Next best action
- Every shift
- Automated handover
- 2 breaks due in 10 min
- Delivery 22 min late
- Chilled stock: shelf gap
- Customer incident logged
Move one till-trained colleague from delivery sorting to tills for 20 minutes. Delay non-urgent shelf replenishment. Verify chilled stock before accepting more online orders.
Built for shift-based operators
- Convenience
- Quick-service food
- Cafés
- Hospitality
- Pharmacies
- Petrol retail
Shift managers don't lack data.
They lack a next move.
A single shift now spans queues, breaks, deliveries, stock gaps, incidents and closing prep — spread across a dozen disconnected tools. When pressure spikes, no system tells the manager which problem to solve first.
Fragmented signals → operational chaos
Experienced managers rely on instinct. Newer managers freeze under pressure. Owners only see the damage after the shift is over — when it's too late to correct.
A live model of the shift.
A clear recommendation for the manager.
Live shift visibility
One dashboard for queues, tasks, breaks, stock, deliveries and incidents — always in sync with what's actually happening on the floor.
Operational pressure score
A single 0–100 signal that turns fragmented shift data into an unmistakable read of how hard the shift is running right now.
Next best action
AI recommends what to do next, explains the reasoning and captures the manager's decision — human-in-the-loop, every time.
Six steps, one shift.
ShiftPilot doesn't replace the manager. It removes the guesswork so they can execute with confidence, from open to close.
- 01
Start the shift
Manager opens the shift, confirms who's on duty and sets the starting condition.
- 02
Capture live signals
Queue pressure, breaks, tasks, stock gaps, delivery issues and incidents flow into one shift model.
- 03
Score the pressure
The pressure engine converts every signal into a single 0–100 operational read.
- 04
Recommend the next action
AI suggests the most valuable next move with a plain-language explanation.
- 05
Capture the decision
Manager accepts, edits or rejects. Every choice becomes structured evidence.
- 06
Hand over cleanly
End-of-shift report writes itself: tasks, incidents, decisions, next-shift priorities.
Everything a shift manager needs.
Nothing they don't.
Live shift dashboard
Staff, queues, breaks, tasks, incidents — one view.
Pressure scoring engine
Real-time 0–100 across labour, queue, backlog, risk.
AI task prioritisation
Ranks work by urgency, safety and downstream impact.
Queue, labour & break alerts
Catch overdue breaks and staffing gaps before customers do.
Stock & delivery alerts
Shelf gaps, phantom stock, chilled risk, late deliveries.
Incident & risk logging
Fast capture of theft, complaints, safety and equipment faults.
Manager coaching layer
Short, contextual coaching tied to the current shift state.
End-of-shift handover
Auto-generated report of tasks, incidents and open items.
Recommendation feedback loop
Every accept, edit or reject sharpens future recommendations.
Modular. Mobile-first. Manual-input ready from day one.
ShiftPilot ships as a progressive web app designed for busy shifts — tap-first controls, minimal typing, works on the phone in your apron pocket. Integrations plug in as you grow.
- OwnerAll sites, reports, analytics, billing, alerts
- Area ManagerAssigned sites, incident review, follow-ups
- Store ManagerSite settings, staff, templates, history
- Shift ManagerRun shifts, log signals, act on recommendations
- StaffView assigned tasks, complete, add notes
Live Dashboard
The manager's home screen. Pressure, signals, staff and next action in one view.
Recommendation Engine
Rule-based reasoning today, ML-ranked tomorrow — always with an explanation.
Owner Dashboard
Cross-site visibility on pressure trends, incidents, unresolved tasks and manager actions.
Handover Report
Every shift ends with a structured summary. No more lost context between managers.
Maintains a live model: staff, queues, breaks, tasks, stock, delivery, incidents.
0–100 score from labour, queue, backlog, risk and closing readiness.
Next best action with explanation, confidence and manager approval.
Built for the people running the floor.
Independent store owner
- Today
- Runs multiple sites, can't be on the floor everywhere.
- With ShiftPilot
- Live visibility and consistent execution across every site.
Fast-food franchisee
- Today
- Peak-hour chaos, new managers, high staff churn.
- With ShiftPilot
- Structured decisions that don't depend on the most experienced person on shift.
Café manager
- Today
- Queue, prep, deliveries and closing collide.
- With ShiftPilot
- A calmer shift, better breaks, cleaner handover.
Area manager
- Today
- Only learns what went wrong after the shift ends.
- With ShiftPilot
- Real-time signals across sites — intervene while it matters.
Frontline operations are getting harder every quarter.
Labour is tight. Costs are up. Stores juggle physical customers, online orders, delivery platforms, safety and compliance at once. AI has moved from back-office productivity into live operational workflows. Small operators need tools priced for reality.
≈10% of UK employment — a huge labour-intensive base under sustained pressure.
Rising incident and safety pressure demands structured logging and visibility.
Workforce gaps make it critical to use existing labour more intelligently.
Source: British Retail Consortium, UKHospitality workforce reporting.
Priced for real operators.
Simple monthly pricing per location. Start small, prove value, expand with add-ons and integrations.
- Live dashboard
- Task priority
- Incident log
- End-of-shift summary
- Everything in Starter
- Pressure scoring
- AI recommendations
- Owner dashboard
- Advanced reports
- Everything in Growth
- Multi-site analytics
- Integration options
- Priority support
- API access
- White-label options
- Custom workflows
- Dedicated support
Built by operators. Engineered for AI.
ShiftPilot is founded on lived frontline experience and grounded AI engineering — the two disciplines the category has been missing.
Direct frontline experience in food and retail. Translates the daily pressure of running a shift — staff, queues, stock, incidents, closing — into product decisions and customer discovery.
Builds the AI SaaS platform end-to-end. Background in AI, Python, Django, PostgreSQL, Redis, AWS, Docker, Hugging Face, TensorFlow, NLP pipelines and data engineering.
Common questions.
Something not covered? We reply personally to every pilot enquiry.
Does ShiftPilot replace the manager?+
No. The manager stays in control. ShiftPilot recommends the next best action, explains its reasoning and records the decision — a human-in-the-loop model aligned with UK GDPR guidance on automated decision-making.
Do we need POS or rota integrations to start?+
No. The MVP works with manual inputs — queue pressure, tasks, breaks, stock and incidents. POS, rota, inventory and footfall integrations are added on the Year 2 roadmap.
Which businesses is it built for?+
Retail, convenience, cafés, quick-service food, hospitality, pharmacies and petrol retail — labour-intensive shift-based operations. It is designed first for SMEs and multi-site independents.
What does the pressure score actually measure?+
A 0–100 read combining labour availability, queue pressure, task backlog, stock and delivery risk, incidents and closing readiness — updated live as the shift runs.
How is customer data protected?+
HTTPS, encryption at rest and in transit, role-based access, tenant-level data separation, audit logging, MFA for owners and admins, regular backups and a documented security incident process.
How do you handle staff data and fairness?+
ShiftPilot supports operational decisions, not automated employment or disciplinary decisions. Recommendations are explainable and every action is logged with the manager's approval.
Run your next shift with ShiftPilot.
We're onboarding a small pilot cohort of independent operators, franchisees and multi-site managers. Founder-led setup, direct feedback loop, real results before you commit.