Pragmatic AI

Artificial intelligence is only as good as its real results.

People

Provided staff with active notifications so they could make real-time adjustments and reduce delay-related workload

Improved collaboration between sales and marketing

Greater flexibility in everyday work

Visualized procure-to-pay, allowing for increased on-time payments while simplifying

Saved hours in the order preparation process

Improved collaboration method, optimized global S&OP approach

Process

Optimized order validation process for an overall increase of $60M increase in automated flows

Optimized S&OP to make just-in-time production possible

Better intersite inventory planning

Improved payment durations on more than 800,000 invoices per year, reduced differences between global subsidiaries

Anticipated important deviations at the beginning of business flows

Reduced the number of expedited shipments

System

Enabled a dynamic view of actual business flows for dissecting processes and isolating variations

Enabled agility and security for multilevel and intersite planning

Enterprise-wide planning system with improved data reliability

Reduced double actions, contactless payments significantly increased and automation areas identified

Provided unprecedented ways to identify losses through hypervision at global and individual event levels

Significantly improved forecasting data reliability

$12M in cash saved after only three months of ML monitoring

50% inventory reduction while service level improved to 99%

17% inventory decrease, 4% service level increase, 38 point accuracy improvement

$300K direct savings over six months

$540K direct savings in less than six months

30 point forecast accuracy improvement

Artificial intelligence is only as good as its real results.

Provided staff with active notifications so they could make real-time adjustments and reduce delay-related workload

Optimized order validation process for an overall increase of $60M increase in automated flows

Enabled a dynamic view of actual business flows for dissecting processes and isolating variations

Improved collaboration between sales and marketing

Optimized S&OP to make just-in-time production possible

Enabled agility and security for multilevel and intersite planning

Greater flexibility in everyday work

Better intersite inventory planning

Enterprise-wide planning system with improved data reliability

Visualized procure-to-pay, allowing for increased on-time payments while simplifying

Improved payment durations on more than 800,000 invoices per year, reduced differences between global subsidiaries

Reduced double actions, contactless payments significantly increased and automation areas identified

Saved hours in the order preparation process

Anticipated important deviations at the beginning of business flows

Provided unprecedented ways to identify losses through hypervision at global and individual event levels

Improved collaboration method, optimized global S&OP approach

Reduced the number of expedited shipments

Significantly improved forecasting data reliability

$12M in cash saved after only three months of ML monitoring

50% inventory reduction while service level improved to 99%

17% inventory decrease, 4% service level increase, 38 point accuracy improvement

$300K direct savings over six months

$540K direct savings in less than six months

30 point forecast accuracy improvement

QAD Delivers Pragmatic AI

Many vendors highlight AI. Few focus on outcomes.

We start with your challenges rather than the buzz word

Avoid the investment and attention black holes that emerge from technology-centered experiments

AI + humans, not AI vs humans

QAD designs AI to assist people with transparent insights, not to override people and leave leaders wondering what to trust

Consistent ROI around real applications

  • Demand forecasting
  • Business process intelligence
  • Product classification
  • Multi-lingual collaboration

“The future will inevitably involve collaborative processes across our business. We now have the right technology available to deal with any challenge and ensure that our results are on a par with our ambitions.”

Richard Crnjanski, Director, European Supply Chain | MAPA SPONTEX

Tools we employ to deliver outcomes

Solution

AI-Enhanced Scenario

Technical Lever

Digital Supply Chain Planning (DSCP) 

Demand Planning - Sensing, forecasting and clustering, demand hierarchies

tSNE projection
Random Forest &
XGboost algorithms

Process Intelligence

Process Discovery
Root Cause Analysis
Predictive Modeling
User Efficacy

Process mining

Bayesian Networks

LSTM / Transformers

Generative AI 

Global Trade and Transportation Execution (GTTE)

Product Classification

Prescriptive ML

Redzone Connected Workforce
 

Collaboration - Real-time translation
 

LLM

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I'm interested in QAD Adaptive Applications.