ARTIFICIAL INTELLIGENCE
ARTIFICIAL INTELLIGENCE (AI) FOR SUPPLY CHAIN TRANSFORMATION
Leveraging AI in pockets in the enterprise supply chain has the potential to deliver new results, from performance improvements to competitiveness. But what if you could change every part of your organizational supply chain and your overall industry? Businesses are unable to grasp the true potential of their AI projects because they can not step on from proof of concept and because AI is a black box for major parts of the enterprise.
Our unique approach to scaling AI, analytics and automation for supply chain transformation, and the data that drives it all to empower every single person and every single process. Effectively, by rendering AI for supply chain transformation, we generate positive progress for our clients, both in short-term gains and long-lasting transformation.
We can help you analyze, optimize and scale prospects of your supply chain as they emerge with our profound AI experts and data scientists, plus the ability to collaborate with virtually any technology partner to support layered technologies.
Gazelle’S AI STRATEGY
AI WORKSHOP – Discover and Review AI capabilities and define priorities and success factors to generate AI/ ML use cases to address key business pain points. i.e. Use cases prioritization, AI solutions design thinking.
QUICK WINS – Identifying quick wins by Proof of Concepts to demonstrate potential capabilities of AI/ ML using real outcomes to solve real problems.
DATA STRATEGY – Define required data sources and data mining, preparation, and refinement activities i.e. Data Cleansing, Data Lakes, Data Governance, and Data Management.
AI IMPLEMENTATION – AI strategy implementation by adopting AI best practices to build, deploy, and operate AI/ML solutions at scale
TRANSFORMING YOUR SUPPLY CHAIN WITH OUR AI APPROACH
- Next-Gen Data Talent
- Strategic Alliances
- Intelligent AI Data Perspectives
- Organize & Govern Data Holistically
- Switch AI Into Action
- Machine Learning-Supported Attribution
POPULAR USED IN OUR APPROACH
The most popular and useful AI models in the supply chain are the Convolutional Neural Network (CNN), the Recurrent Neural Network (RNN), and Tensorflow. AI models can be used to improve supply chain efficiency.
CNN is a network for deep learning that excels at image recognition. Using a CNN algorithm, our algorithms can identify and track items by analyzing images of them.
RNN is a network for deep learning that excels at recognizing patterns across time. RNN models can be used to analyze the outputs of a variety of sensors to identify anomalous behavior in the complete supply chain process
Tensorflow is a great tool for creating AI models, and including it in SCM applications helps us refine our algorithms.
GAIN – Gazelle AI Network-Efficiency Model helps in identifying possible bottlenecks in the network with demand fluctuations and helps eliminate them pro-actively.
Check How AI Backed Voice Chatbots in Supply Chain improves Customer Experience
BENEFITS OF TRANSFORMING YOUR SUPPLY CHAIN WITH OUR AI APPROACH
Human & machine collaboration
When human imagination and judgement are combined with the pace and scale of AI, businesses accomplish more.
Responsible AI
Users, communities and society at large can benefit from AI, led by key values that help achieve optimal results while generating trust.
Cultural shift management
Transform acceptance and progress with the right preparation, instruments and procedures in all roles and stages.
An Innovative Ecosystem
Design and execute the AI agenda in partnership with collaborators who have complementary objectives.
End-to-end integration
Consider the entire market, method or function, instead of relying on a particular algorithm or instrument.
Data & Analytics
AI is just as wise as the insights that power it. We can help you discover valuable information from analytics by tapping into details.
Intelligent Automation
What if the enterprise could develop by itself to keep up with disruption? Learning processes can assist you to move past efficacy and respond to transition.
Enterprise Data management
To help organizations map a compelling vision and create a digital technology supply chain, we utilize the potential of transformative technology, both by instilling greater trust in data and finding better ways of managing it.
Search & Content Analytics
We can help discover latent value within the unstructured data and generate groundbreaking organization results by integrating AI innovations such as ML & NLP with search and analytics.
The Process That We Follow For AI driven Supply Chain Transformation
- Evaluate the current position of digital & AI of the company
- Establish the target state of the business model & valuation pools in Supply Chain Functional Areas.
- Build a strategy to develop use cases with huge potential and impact in specific functional domains.
- Unify the whole organization with proactive change management around digital & AI
Check Gazelle's Supply Chain AI Solutions
Effective Use Cases of AI for Supply Chain Transformation
Identifying ideal process of Supply Chain for specific industry
Our GAIN AI Model can help identify the ideal supply chain process for any specific industry –
- Evaluating effective network design
- Identifying best models of network design based on customer demand
- Creating and mapping demand-driven and supply-driven load on the supply chain network
Predict Possible Supply Chain Gaps
Some of our AI Use cases help identify possible supply chain gaps in the future by:
- Mapping supply chain sensitivity analysis to real-time impact
- Analyzing the source of fluctuation in the sensitivity analysis and deriving possible response plans
- Eliminating bottlenecks and optimising inventory at all levels
Effective AI Use Cases in Supply Chain Process
Optimizing Inventory
AI can help use historical data to predict what purchases a customer is likely to make and when they make them. For example – Businesses use AI to predict customer buying behavior and schedule inventory levels accordingly
Predicting Demand Shifts
Using advanced analytics, it can predict demand shifts according to weather conditions & other factors which impact customers’ buying behavior. For example: A lot of new age eCommerce businesses and brick and mortar business leverage this to automate product placement and inventory
Detecting Fraudulent Orders or Transactions
It also identifies fraudsters who might try to buy your products with stolen credit cards. For example: Amazon utilizes this feature.
Improving asset utilization rates
From raw material to stock data, AI will tell you how much to keep and when. For example: Most new age supply chains leverage this to upkeep warehouse logistics.
Lean Supply Chains
Using stats, you can learn how to keep your customers in-store longer and increase the likelihood of them making purchases. For example: Fashion shopping apps like Amazon, and Shein use this feature to show suggested items for next purchase and accordingly develop lean supply chains!
Want to get results like this?
Artificial Intelligence : Creativity in Machine