Curious How AI Can Improve Your Supply Chain?

Why We Chose Aible

"We knew that we needed automated machine learning tools to enable scaled predictive analytics across our enterprise – this is a key component of our future. To meet this need, we conducted an exhaustive analysis with the key Gartner Magic Quadrant top companies in the last quarter of 2019 – beginning of Q1 2020. Aible brought focused expertise in Supply Chain with a flexible start-up mentality and a fresh approach to AutoML. A forward-looking company with a very unique vision to automated machine learning, Aible goes beyond the other tools to focus on business ease-of-use and interpretable results that translate directly to business dollars and hard benefits."

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Popular Supply Chain Use Cases: 

Let Aible Help Solve Your Use Case
More businesses than ever are turning to Artificial Intelligence (AI) to maximize operations effectiveness and reduce supply chain disruptions. Organizations are turning to AI in order to predict how likely it is that a material will stock out or that a shipment will be delayed.

But here’s the bad news: so far, AI has been a disappointment for many businesses. According to a recent survey by MIT-Sloan and the Boston Consulting Group, 65% of companies report seeing no value from their AI investments. Even among organizations that have made “significant investments” in AI, 40% report no business gains from AI.

There are many reasons companies have failed to see business gains from traditional AI, including:

Users have access to a single AI predictive model that is tied to a specific set of business conditions. When conditions change, the model cannot dynamically respond. 

In other cases, AI models fail because they don’t take into account the cost-benefit tradeoffs and capacity constraints that are unique to a particular business. A one-size-fits-all AI usually winds up fitting no one.

End users cannot easily incorporate their feedback resulting in a less optimized model. 

Ivan Alvarez,
VP Big Data and Enterprise Analytics

With supply chain conditions constantly changing, you need to quickly figure out:

Which manual interventions (such as expedite requests) should be executed to minimize cost and risk (such as expedite fees, risk of customer dissatisfaction, etc.).

How to optimally allocate operations resources across task types, materials, and locations.

How you should change your safety stock and expedite thresholds to compensate.

Aible is the only AI solution that goes beyond predictions to enable you to optimize and anticipate. Aible lets you consider hundreds of shifting market factors and gives you the optimal recommendations to maximize business impact and ROI.

Material Order Escalation
Expedite orders to optimize your profitability and customer satisfaction while respecting your constraints,  like inventory storage and call capacity

Staffing Level Optimization 
Work the right number of employees across product lines and divisions

Predictive Maintenance
Avoid costly downtime by predicting maintenance needs in advance

Scenario Planning 
Prepare for best case, worst case, and everything in between automatically with AI

Hypothesis Testing
Consider inventory levels across all ranges of customer demand and supply availability

Aible's Unique Approach to a Typical Supply Chain 
Use Case

Why Aible For Supply Chain Optimization

Aible Helps NCR With Logistics

And Solve Your Use Case Together

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Wathc how Aible helps you reduce disruptions in your supply chain in at time of rapid change.

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What is needed is a fundamentally new approach to AI; an AI solution that provides an OPTIMAL AI model tuned to your unique business needs, one that is always optimized, even as business conditions change. 
Traditional AI falls short, but there is a solution...


Aible can predict the probability that a marketing promotion will convert, but since not all prospects are equally valuable and marketing assumptions and prospect behavior can change - you need a strategy that can adjust quickly.

Aible lets you balance resource constraints to determine the optimal resource allocation across multiple promotions and buyer segments so that you always target the promotions that add the most business value. 

As market conditions and customer preferences change across products and regions, Aible tells you how you can quickly adjust your marketing strategy to compensate. Aible provides an efficient frontier of many models versus a single fragile model, ensuring you use the right model given the circumstances.

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