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Higher ROI on AI

by using the easiest method of scheduling + optimization

WHY

How Will You Benefit?

TRACK RECORD

Case Studies

Scheduling for Hospitals with ‘What-If’ Analysis

Currently used by a medical group consisting of 30 odd physicians and support staff, serving four 500-bed hospitals and 2 nurseries.

20%

savings on OpEx costs

Combined Delivery & Transportation Scheduling with ‘What-If’ Analysis

Mitigated scheduling inefficiencies eliminating drudgery. Maximized profit by optimizing resource, time & cost models simultaneously.

15%

savings on OpEx costs

Optimized Production & Distribution Capacity, & ‘What-If’ Analysis

Optimized transportation, logistics, production, and distribution capacity using scenario analysis.

Maximized profit by optimizing time and cost models simultaneously.

Scheduling for Workload Management for an Insurance Company

Helped the company with data extraction, integration and AI/ML analysis.

20%

savings on OpEx

TESTIMONIALS

What our customers are saying...

“I use TeamPeak™ Personal. It helps me schedule family tasks, from my kids’ science projects and recitals to paying the bills, and it automatically schedules them before they become urgent. With TeamPeak, nothing slips through the cracks. We save a lot of time, and we accomplish a lot more.”

P.J.
Project Manager and busy mother

"I am a Senior Director at a Fortune 500 company. We use TeamPeak™ Business as a rule-of-thumb check to ensure that we handle the important tasks correctly, and to plan for resources ahead of time. I am very happy with the results.”

MK, 
Director of Product Management

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Optimizing scheduling algorithm for windmills

Our AI-model aims at maintenance scheduling of wind mills for a multi-component system. Which of the components should undergo maintenance replacements first is decided by ‘What-If’ Analysis. Compared to the other models, the TeamPeak model produces an optimal schedule only for the next maintenance activity. By focusing on a shorter planning horizon and implementing a different model structure, we succeeded in substantially reducing the computational time.
 

Our software also optimizes scheduling with energy storage system (ESS) that has economic feasibility. ‘What-If’ Analysis considers forecast errors with the ESS for real-time control.

'WHAT-IF' Analysis

AI driven SaaS to optimize work allocation

URGENT OR IMPORTANT?

Balance important tasks before they become urgent

OpEx MINIMIZATION

Simultaneous time and OpEx minimization

EASY INTEGRATIONS

Easy software integration with leading tools

CUSTOM PARAMETERS

Manage preferences, team chemistry and time-zones

PRIORITIZE

Preserves and aligns business priorities of tasks

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