Predictiv Xpert - AI Chat

Your intelligent ERP companion for instant answers and insights

Published: 2025-12-20 By: Predictiv

Your intelligent ERP companion for instant answers and insights. This guide covers chat interface overview, query capabilities, data visualization integration, and more.

Chat interface overview

Chat interface overview is a core capability within Predictiv, designed to streamline operations and improve visibility. The implementation follows best practices while remaining configurable to meet your organization's specific needs.

Query capabilities

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Mobile Stock Take

The Predictiv Stock Take module introduces advanced capabilities for stock take within the Predictiv ERP system, leveraging mobile technology to enhance data collection and streamline stock take processes.

Data visualization integration

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Mobile Stock Take

The Predictiv Stock Take module introduces advanced capabilities for stock take within the Predictiv ERP system, leveraging mobile technology to enhance data collection and streamline stock take processes. Key features include:

  • Mobile Data Collection Integration

  • Verification

  • Advanced Recount and Consolidation Options

  • Workflow-Driven Process

  • Physical Inventory Adjustments

  • Comprehensive Audit Trail

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# AI & Machine Learning

AI Invoice Processing

Supplier invoices are often received in the form of an email containing a PDF attachment. - RPA reads an email account, and extract PDF supplier invoices

  • AI reads the PDF, and extract the invoice details

  • RPA logs in to a Predictiv instance, and captures the invoice details

  • RPA sends an email to the Finance function, alerting the team that there is an invoice which has been captured, and should be validated and complete

Sales Forecasts

Predictiv supports a 'pluggable' sales forecasting capability, whereby future demand can be estimated using historical data.

Context-aware responses

Context-aware responses is a core capability within Predictiv, designed to streamline operations and improve visibility. The implementation follows best practices while remaining configurable to meet your organization's specific needs.

Future roadmap

  • RPA reads an email account, and extract PDF supplier invoices

  • AI reads the PDF, and extract the invoice details

  • RPA logs in to a Predictiv instance, and captures the invoice details

  • RPA sends an email to the Finance function, alerting the team that there is an invoice which has been captured, and should be validated and complete

Sales Forecasts

Predictiv supports a 'pluggable' sales forecasting capability, whereby future demand can be estimated using historical data. Sales forecasting uses a decomposable time series model with the components, trend, seasonality, auto-regression, special events, future regressors and lagged regressors.

Getting Started

To implement predictiv xpert ai assistant in your Predictiv environment:

1. Assess your current state - Review existing processes and identify improvement opportunities

2. Configure the module - Work with your implementation team to set up the required components

3. Train your team - Ensure users understand the new capabilities and workflows

4. Monitor and optimize - Track key metrics and continuously improve

Related Resources

For more information on related topics, explore our other guides in this collection.

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