Logistics AI

Optimize Resources.
Predict at High Confidence.
React to Sudden Disruptions.
Cognistx AI gives the supply chain industry the power to sync with the changing market, allowing for earlier and more intelligent responses to trends and shocks (Covid 19) and minimizing disruptions. Through advanced modeling techniques, Cognistx enables supply chain companies to optimize their workforce and accurately predict demand and inventory levels.
Can logistics AI help you?
“Cognistx helped us realize the importance of artificial intelligence

and machine learning and data science as effective tools to take our customer service to the next level and optimize our supply chain."

Tim Jordan | Director of Supply Chain, AmeriGas Group
“Long-term, this artificial intelligence program

will help aid all applications that impact small businesses and develop a playbook for the future making accessibility to loans more efficient. We were able to quickly put a program together that will be here not only during disasters but brighter days to support small businesses in Miami-Dade."

Sanjay Chopra | CoFounder, Cognistx

Our Logistics AI Products

can logistics AI optimize your return? find out now

Cognistx Route Optimization

Step 1
Collect data such as trucking resources, service locations and historical delivery patterns
Step 2
Apply Machine Learning and other AI solutions to determine optimal routes and service enhancements
Step 3
Client reviews Cognistx's recommendations and adjustments are made based on the feedback
Step 4
Apply all client-approved changes and conduct ongoing monitoring and updates
Contact us today for more details or a demo

Supply Chain Data Quality Engine (DQE)

Step 1
Client data (erp, crm, unstructured) is prepared for input to the system via cloud storage dump or API integration.
Step 2
Data is ingested and prepared for the rule engine application through preprocessing, cleaning and normalizing.
Step 3
Rule engine applies business rules and AI/ML to identify and track anomalies, and suggest corrections.
Step 4
Anomalies are aggregated and converted to human-readable form with reporting metrics.
Step 5
Dashboard presents anomalies for user interaction and feedback to further improve system accuracy.
Contact us today for more details or a demo

Logistics AI Features and Benefits

Analytics and Alerts
Human Feedback Loop
Continuous Deep Learning
Clustering and Classification
Automatic Data Extraction
Significant Time & Cost Savings
Improved Planning & Forecasting
Increased On-Time Delivery
Delivery Route Optimzationi
interested? Request to Speak to a data scientist
case study
logistics AI
Our Data Quality Engine solution for Armada involves a defined set of business rules to identify irregular data and prevent misalignment of resources. Analysis of process data and identification of anomalies helps Armada to reduce data errors, improve operational efficiency, make data-driven decisions, and save significant time and & money.
DQE Analytical Objectives:
  • Error Detection
  • Cost Reduction
  • Workforce Efficiency
With over a million records retrieved per day and no way to track data quality, Armada faced multiple supply chain inefficiencies. Through our Anomaly detection solution, we've analyzed high velocity and volume data sets to help Armada make better decisions and save significant time, money and effort.
50M+
records
processed/year
1M+
anomalies
detected/year
$10M+
dollars saved/year
40GB+
data processed/year
case study
Logistics ai
Our DQE solution for AmeriGas uses Machine Learning and Artificial Intelligence to improve delivery routes and optimize loads, enhancing the entire supply chain. Optimized delivery routes significantly reduce costs and improve relationships with customers and business partners.
DQE Analytical Objectives:
  • Route Optimization
  • Cost Reduction
  • Operational Efficiency
AmeriGas deployed our AI-enabled Data Quality Engine and Route Optimization Solution to improve operational efficiency, increased revenue and reduced cost. The Data Quality Engine detects incorrect manual entries based on business rules and route optimization computes the best possible paths for propane transport. To date, the DQE has resulted in significant cost reduction by reducing the sub-optimal and zero-fills, and revenue increase by decreasing no-fills.
$1M+
dollars saved/year
22K+
anomalies
detected/year
19+
districts covered by
route optimization
60K+
customer accounts
analyzed/year

Can Logistics AI Help Your Company?

Contact us to begin your journey towards service automation!
Submission received! We will reach out to you within 24 hours.
Oops! Something went wrong. Please check your responses and try again.