Supply Chain Analytics
Planning & Optimization AI | Advanced Analytics
Making better decisions with Analytics & AI
Advanced analytics and big data applications are voted as the most important and frequently adopted digital capabilities. By 2023, at least 50% of large global companies will be using AI, advanced analytics, and IoT in supply chain operations. Artificial intelligence (AI), advanced analytics, and IoT are considered high-benefit technologies.
It is our mission to help supply chain and logistics companies work more efficiently, make better decisions, and be sustainable. We add value through AI-driven transformation & solutions that digitize processes and extract insight from data.
In short, we drive supply chain decision processes with analytics & AI.
Why we help
“The biggest misconception in the journey to successfully scaling AI is the search for ‘unicorns,’ or the perfect combination of AI, business, and IT skills all present in a single resource.
Since this is impossible to fulfill, focus instead on bringing together a balanced combination of such skills to ensure results.”
Erick Brethenoux,
Research Vice President at Gartner
How we help
Advanced Dashboarding
Advanced and interactive
dashboards
Decision Intelligence Platform
From Business Intelligence to
Decision Intelligence
Algorithmic Planning Interface
Optimize your planning
in the cloud
Let us explain our approach
We can show how you can follow the data maturity curve, and identify the best ways to get value out of your data.
Where does your company stand?
No need to wait. Request a discovery session. Help your organization moving forward.
Your Data Maturity Journey
Ab Ovo provides its clients with…
1. Action-oriented insights
2. Predictive analysis
3. Prescriptive optimizations
… to empower decision-makers to achieve the best results.
Analytics & AI from Ab Ovo empowers decision-makers to achieve the best results
Our industries
Rail
Logistics
Retail
Aviation
Maritime
How we bring value
Analytics is the whole area of using data as input for decisions, from dashboards to prescriptive. Data Science refers to a more explorative approach to using predictive and prescriptive modeling to gain value in decisions from all the input of an organization.
Below are a couple of examples of how we bring value to our clients.
Fast-food restaurant
Value
Reduced food loss up to 20%
Solution
- Predict food orders in buckets of 15 mins
- Converge production orders for drive-throughs
- Control tower to monitor inventory
- Possibility to add events/traffic information
Retail
Value
Increase order throughput up to 8%
Solution
- Create demand scenarios (predict orders p.w.)
- Create supply scenarios (DCs and hubs)
- Identify bottlenecks and perform mitigating actions
- Identify possible areas for revenue growth
Public – Water Authorities
Value
Up to 15% less disruptive maintenance
Solution
- Predict degradation curves of costly assets
- Integrate automated inspection reports
- Optimally allocate reserved budget per year
- Alerts for disruptions or budget mismatches
How to Start – The Customer Journey
Proof of Concept
- Dashboard to inspire and show the potential of advanced analytics.
- Algorithms with limited scope to show the potential of decision intelligence.
Insights
- Implemented dashboard for standardized knowledge & valuable visualizations.
- Improved decisions based on data-driven insights.
Advanced Analytics
- Machine learning and mathematical optimization for data-driven support.
- Decision intelligence (pro-active decision suggestions based on data).
Automated Decision Making (AI)
- Autonomous decision-making using artificial intelligence.
- Ultimately few to no human interference is necessary.
Our ecosystem
Our People
80+ operations research experts & analytics translators with years of experience.
Partner Ecosystem
Long-term relations in the field of analytics & data science including universities.
Technology Ecosystem
We are technology agnostic and have a broad range of toolkits as instruments to tackle any analytics challenge.
Prepare Today for Tomorrow
Analytics is the whole area of using data as input for decisions, from dashboards to prescriptive. Data Science refers to a more explorative approach to using predictive and prescriptive modeling to gain value in decisions from all the input of an organization.
-
Decision intelligence is a combination of data, knowing where to go, objectives, and rules
-
Decisioning should help in achieving the strategic goals
Where would you position your company on the data maturity curve? And what is the biggest challenge for further growth?
Let us explain our approach, show how you can follow the data maturity curve, and identify the best ways to get value out of your data.
You may find this interesting too
Supply Chain Analytics
To help organizations start or expand the usage of data analytics in advanced decision-making, Ab Ovo delivers end-to-end supply chain analytics. Read how it’s done in our blog post.
Show me all!
Overview of valuable insights tailored to your industry needs and at your fingertips to either consume yourself or share internally with your teams and executive leadership.
About Ab Ovo
It is our mission to help supply chain and logistics companies to be more efficient and sustainable by enabling them to make better decisions through smart digitization.