Keep your systems. Connect your decisions.

Bring the information you already use into a common planning model, with supported connections back to your existing workflows.

Discuss your operation ↗

Add Decision Intelligence alongside your existing systems.

You do not need to replace your warehouse management, workforce management, scheduling or HR systems to introduce Predyktable. We agree the data connections and responsibilities with your operational and IT teams.

Send the approved labour plan to your existing scheduling workflow, or use the Intelligent Deployment add-on.

Different sources. One consistent planning structure.

01
Your existing sources
Warehouse and workforce systems, data platforms and planning files.
02
Map and validate
Translate fields, units, sites and tasks into a standard schema.
03
Check the initial plan
Use historical data and site configuration to validate the planning baseline with your team.
04
Validate live feeds
Check incoming data, refresh the plan and agree how inputs stay current.

A standard schema is a common structure for information—not a requirement to rebuild your source systems. For example, site names, task codes and units are mapped so that an “order”, “case” or “hour” has a clear meaning in the planning model.

This provides a consistent foundation across warehouses while retaining each site’s operating rules. Source-specific mapping is still required.

Use a connection that fits the source.

Data sharing

Use suitable cloud data warehouse sharing arrangements where the required operational data is already available.

APIs

Connect to supported system interfaces for the information and approved outputs needed by your workflow.

Files and spreadsheets

Bring in agreed forecast and planning files from a designated location, with defined formats and update schedules.

The implementation team selects and validates the appropriate approach for each source. Access, refresh frequency and outbound delivery are agreed as part of the scope.

A practical implementation, with clear responsibilities.

Your team brings the operating context

Identify data owners, provide sample and historical data, arrange approved access and explain the rules and measures used by the operation.

We build and validate the connection

Map the inputs, investigate gaps and conflicting records, configure the feeds and check the results with your team before relying on them for planning.

Historical data helps establish the model; ongoing feeds keep it current. As you add sites, reuse relevant mappings and configurations while checking local differences. Data availability, access and new interfaces affect delivery time.

See the implementation approach → Review security and privacy →

Your questions, answered

Do all our sites need the same warehouse system?

No. Warehouses can use different WMS products or versions. We map agreed inputs into a common planning structure while preserving local operating rules, so a single WMS rollout is not a prerequisite. Each source still needs access, mapping and validation. Compare this with extending each WMS →

Is every system connection ready out of the box?

No. Supported patterns provide a starting point; source access, mapping and testing are required. A new downstream system may need a new integration.

When does a new plan reach our execution workflow?

Supported downstream delivery is triggered by approval of the plan. Your team agrees the receiving system, output format and validation process during implementation.

Start with the systems and data you have.

Bring your operational and IT teams together to agree a practical first deployment.