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Key Benefits & Target Indicators
2-5x faster
software delivery
For businesses launching new products and/or services.
>50%
cost savings
Through AI-driven optimization, cutting out manual tasks and freeing your team to focus on more important initiatives.
+90% team confidence
on AI delivery
Our approach instills development teams with a new sense of conviction in integrating AI tools into their daily work.
30% boost
in productivity
By accelerating processes through AI-driven automation.
2-5x faster
software delivery
For businesses launching new products and/or services.
>50%
cost savings
Through AI-driven optimization, cutting out manual tasks and freeing your team to focus on more important initiatives.
+90% team confidence
on AI delivery
Our approach instills development teams with a new sense of conviction in integrating AI tools into their daily work.
30% boost
in productivity
By accelerating processes through AI-driven automation.
Generative AI driven digital product development
Generative AI driven digital product development
Challenge:
SIA wanted to deploy a cutting-edge, AI software engineering methodology for one of their digital product squads. Generative AI’s transformative capability in digital product development was tested by this squad, and the positive results from this initial PoC has led to a plan to further test and scale this innovation to wider IT teams.
5 weeks
For feature development, versus forecasted 9-week effort.
90%
Build success right 3 weeks into the PoC.
Productivity gains
Through the the Gen-e2 methodology, powered by GitHub Copilot.
Revolutionizing software engineering with AI
Revolutionizing software engineering with AI
Challenge:
PALO IT collaborated with HCF, Australia’s largest not-for-profit health fund, to deploy the Gen-e2 AI engineering methodology to its already advanced tech teams. The move reflects the fund’s long-term commitment to leading in digital health, and to delivering better outcomes for members.
Solution:
The first pilot project selected by HCF was a new innovation initiative designed to boost Australians' activity levels through social interaction. Active Locals is a mobile app that helps people find groups suited to their interests and fitness levels, with a strong focus on building community.
86%
Overall productivity gains.
4 months
Timeframe, from conception to delivery.
95%
Of code, documentation, architecture diagrams, infrastructure as code produced by Gen AI.
AI-driven demand forecasting
AI-driven demand forecasting
Challenge:
Tchibo faced difficulties in accurately predicting product demand, which led to inefficiencies in inventory management and logistics. The company needed a simple solution to enhance forecasting capabilities.
Solution:
An AI-driven service utilizing Google’s Vertex AI, analyzing over three years of product, marketing, sales, and logistics data to predict online demand for products up to 84 days in advance.
30%
Improved demand forecasting.
20%
Reduced excess inventory costs due to better alignment of supply with demand.
25%
Less time spent on logistics planning.
* For illustrative purposes, based on publicly available information
AI-driven demand forecasting
AI-driven demand forecasting
Challenge:
Amazon faced the challenge of maintaining efficiency and responsiveness within its vast supply chain network. Traditional forecasting methods were often inadequate in predicting demand fluctuations, leading stockouts or excess inventory.
Solution:
An AI-driven supply chain optimization system that leverages machine learning and predictive analytics. The system analyzes massive troves of data from various sources to improve demand forecasting accuracy.
30%
Reduction in inventory costs.
95%
More accurate demand forecasting.
20%
Reduced delivery times through optimized logistics.
* For illustrative purposes, based on publicly available information
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