Those that can realize the greatest benefits from adopting AI are organizations with high volumes of data. AI can deliver tremendous benefits but requires a solid data foundation to do so. Multiple, siloed, legacy systems bursting with disparate, duplicate and incomplete data make this a challenge.
Establishing an appropriate AI foundation is critical for long-term success. And the time is now. We’ve been rigorously building and testing our AI models for over 7 years.
One example is our world-class AI supply chain visibility solution, being used by Mastercard and global banks.
We have mature AI models and we’re offering direct access to these models to give proactive organizations a head start in surfacing opportunities from their own finance and procurement data quickly.
1.The size of the AI engine
In simple terms, the volume of data that it holds determines the number of possible permutations or relationships between data points which impacts the number and quality of insights that can be generated.
2.The type of data
Not all data behaves the same way. Is the AI engine built on the type of data that can benefit your company? Eg. Is it based upon images, web references, or financial data?
3. The maturity of AI engine
How long has the model been training and testing?
Over time AI improves data accuracy and increases the volume and quality of the relationships built between data points.
4.The AI team
Over 80% of companies that embark on AI hit barriers relating to data. They are also unclear as to which problem to solve. For these reasons, you would be wise to look for a team who has a trilogy of experience in :
DataAI and
Your specific industry
We articulate business challenges that deliver measurable results
We smash through data barriers easily at lightning speed
Our mature AI models have evolved over 7+ yrs
Our data and AI team have collaborated with some of the world’s largest and complex businesses to deliver data driven solutions
Our approach offers a flexible, budget friendly POC and use case validation
“Creating a custom extension to our current AI models, we were able to significantly improve the cash flow management and supplier's credit risk assessment for a global finance giant, by predicting a supplier's propensity to pay.”
Nitin Upadhyay, RobobAI Chief Data + Innovation Officer
RobobAI's powerful AI engine typically identifies savings of ~5-10% of supply chain spend, from areas such as operational process savings, contractual, supplier and material savings, risk mitigation and treasury benefits (working capital).
A US Manufacturer recognized a 52% reduction opportunity in purchase orders when leveraging our AI engine.
A UK FMCG identified working capital opportunities AU$550M of payments could be moved to a commercial card solution.
A US Manufacturer transitioned 33% of suppliers to commercial card transactions which simplified the payment process and creates opportunities for better cash flow management and increased financial flexibility.
Here's how
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Our flexible POC approach gets you on the pitch quickly. We're committed to delivering measurable results that will position you for
long-term gain.
And while we're known for our ability to identify and articulate strategic solutions, we don’t stop there. We' deliver tangible results and then train your team to execute them in the real world.