AI for retail and service operations

Connect sales, inventory and delivery data to support demand forecasting, replenishment and service workflows. Start with one operational decision, then assess where AI can help.

Discuss your workflow Explore applications

AI applications in retail and services

Where could demand and stock fall out of step?

Demand forecasting and inventory planning

Explore demand and supply scenarios with Forecast IQ to support inventory and delivery decisions.

Retail workflow automation

Use DataCore to link existing systems and Maestro to help surface items requiring human attention.

Knowledge access for service teams

Give staff access to procedures and internal documents through Ximple AI, with traceable answers.

See how a workflow connects

Existing records

Sales history
Stock records
Delivery schedules

Connected information

DataCore

Where could demand and stock fall out of step?

Human review

Review replenishment priorities

Start with the records your team already uses. Check access, completeness and ownership before connecting them.

Illustrative workflow. Connections, outputs and data access are scoped during assessment.

Connect the right capabilities

DataCore

Your data: connected, interpreted, and ready to do the heavy lifting.

Forecast IQ

AI-powered forecasting that turns your data into tomorrow's decisions.

Maestro

Your company's AI brain, always on, always working.

Prove the value in one process first.

Map the data sources, define a measurable success criterion, and validate a working prototype before expanding the deployment. Your operations team helps decide what is useful.

Explore our method

Questions before you start

Where can AI help retail and service teams?

Explore demand and supply scenarios with Forecast IQ to support inventory and delivery decisions. Use DataCore to link existing systems and Maestro to help surface items requiring human attention. Give staff access to procedures and internal documents through Ximple AI, with traceable answers.

Do we need to replace our existing systems?

The starting point is your current systems and a defined workflow. We assess available integrations, data access and quality before recommending how to connect them.

What data should we prepare?

Bring a representative sample of the records used in the workflow, the business rules behind them and the people who own the process. Data quality and access are assessed before a prototype is scoped.

How do we decide whether a pilot is useful?

Agree on a baseline and a measurable goal for one process, such as time spent reconciling records or answering an operational question. Validate the result with the team before deciding whether to expand.