Read actual demand
Tickets, baskets, dayparts, and service pace come out of the POS instead of staying locked inside the checkout.
POS integrations
Connect your restaurant POS to anticipate demand, inventory pressure, and staffing needs
Praedixa plugs into your POS, scheduling, delivery, and inventory stack in read-only mode to turn live sales data into demand forecasts and operational needs without replacing your existing tools.
What the integration changes in practice
Anticipate before the rush
Praedixa converts those flows into a more useful reading of upcoming demand, inventory pressure, and staffing coverage.
Adjust inventory and staffing sooner
The forecast is not left as an isolated number: it informs food cost, product availability, and staffing trade-offs.
Prove ROI without an IT rebuild
The starting point stays light with read-only access, exports, APIs, or secure batch flows depending on the network context.
How the Praedixa integration works
The goal is not to launch one more IT project. Existing flows are collected, aligned on a shared time basis, and turned into an operational reading that the network and sites can actually use.
01
Lightweight connection
POS, scheduling, delivery, inventory, or existing exports are connected without rebuilding the current tool stack.
02
Read-only sync
Praedixa reads the relevant flows without changing the checkout, scheduling, or inventory systems already in place.
03
Shared decision frame
Sales, events, dayparts, calendars, and useful signals are brought into one operational timeline.
04
Actionable outputs
You get an earlier reading of demand, inventory pressure, and staffing needs before they become expensive problems.
POS and restaurant tools already connectable
Praedixa connects to the tools already shaping demand, inventory, and staffing. The objective is not to add another dashboard, but to get more operational value from the data you already have.
POS & Checkout
06 compatibleZelty
Sales, tickets, average baskets by daypart
Cashpad
Checkout history restaurant by restaurant
Innovorder
Multi-channel sales: dine-in, takeaway, delivery
L’Addition
Checkouts and transactions by service
Tiller
Tickets, baskets, and items sold
Lightspeed
Restaurant transactions and inventories
Planning & WFM
04 compatibleSkello
Schedules, roles, and coverage by daypart
Combo
Shifts, versatility, and absences
Shyfter
Multi-site planning and shifts
Quinyx
Workforce management for chains
Delivery
04 compatibleDeliveroo
Orders, volumes, and peak times
Uber Eats
Delivery history by daypart and restaurant
Just Eat
Multi-channel delivery sales
Deliverect
Delivery channel aggregation
Inventory & Supply
03 compatibleEasilys
Stocks, costs, and procurement
Odoo
Restaurant ERP and inventories
Metro
Orders and supplier catalog
BI & Reporting
03 compatiblePower BI
Network KPIs and dashboards consolidation
Looker Studio
Trends and comparisons reporting
Tableau
Advanced analyses per restaurant
Standard formats
03 compatibleREST API
Direct connection to your internal APIs
CSV / Excel
Scheduled or on-demand exports
SFTP / S3
Secure batch transfers
What Praedixa produces from your flows
Once flows are aligned, Praedixa does not stop at surfacing KPIs. The platform produces a more actionable reading for demand, inventory, and staffing decisions across the network.
Demand forecasting
By daypart, service, site, or channel so the team can anticipate what is actually likely to sell.
Inventory pressure visibility
Expected demand is connected to product availability to expose both stockout risk and unnecessary overstock.
Staffing needs
Coverage is re-read from expected demand to support better trade-offs between labor cost and service level.
Commitments
Read-onlyHosted in FranceNDA on requestNo changes to your toolsFull audit trail
Frequently asked questions
What kinds of tools can Praedixa connect to?
Praedixa connects to POS, scheduling, delivery, inventory, BI, and standard file or batch formats whenever the relevant operational data can be accessed through APIs, exports, or secure transfers.
Do we need to replace our current tools?
No. The starting point is read-only so the team can prove value from the existing stack before discussing any broader rollout.
What does Praedixa produce after connection?
A more useful operational reading of demand, inventory pressure, and staffing needs so decisions can be taken earlier and with more context.
How long does it take to get started?
The timeline mostly depends on flow availability and data quality, but the operating principle stays light: read-only, exports or APIs first, then a first useful decision layer quickly.
My POS is not listed here. Is that a blocker?
Not necessarily. If the stack exposes the right data through APIs, files, or secure batch flows, Praedixa can often scope a workable integration path.