What Advatix CloudsuiteTM AI
has in Store for You & Your Customers
Optimize your supply chain processes, eliminate human errors, predict future improvement opportunities with artificial intelligence. Our machine learning algorithms integrate with IoT sensors to capture data, leverage historical data, accounts for seasonality to forecast inventory, optimize route & transportation costs, and improve utilization & productivity.
Increased Labor
Utilization
Achieve labor efficiency with automated manual processes using machine learning.
Optimized
Transportation Cost
Reduce transportation cost by optimizing the size of shipment, mode of delivery & choosing the most cost-effective carrier.
Improved
Fulfillment accuracy
Reduce errors & improve efficiency from inventory management to fulfillment execution using machine learning capabilities.
Why choose us
Automation
Integrated
Efficient
Unique Product Features
that Set us Apart
Our Technology Helps Your Business Grow
Pick Path
Intelligence
Intelligent machine-learning algorithm to recommend most optimal route to achieve operational efficiency. Additionally, leverage pick-to-light system using IoT technology for accurate picking.
Box Size
Optimization
3D volumetric weight algorithm to recommend optimal box to optimize shipping costs. Options to customize & configure dunnage by item classification.
Directed
PutAway
Self-learning model to recommend putaway bins based on pick frequency, bin-position, item classification, and batch/lot/expiry. Additionally, leverage put-to-light system using IoT technology for accurate putaway.
Smart Carrier
selection
Machine learning algorithm to recommend courier based on carrier performance, ship-method, rate shopping, delivery zone, item classification, and seasonality considerations.
Auto
Replenishment AI
Machine learning algorithm to auto generate replenishment order based on inventory levels, historical demand, sourcing time, sales pattern, growth projections, and seasonality considerations.
Smart Locker
Self-learning algorithm to recommend Smart Locker size & location basis order density, geography, and local presence for unattended driver and customer pickups.
Vision
Technology
Machine learning model to automate quality control processes for fulfillment accuracy or rental operations (authenticity).
Workload
Planning
Self-learning algorithm to recommend pick method (wave, batch, cluster) based on labor availability, work volume, and fulfillment SLA.
Intelligent Load
Optimizer
Machine learning module to optimize container load considering shipment size, shape, and product classification.
Unique Product Features
that Set us Apart
Our Technology Helps Your Business Grow
Pick Path
Intelligence
Intelligent machine-learning algorithm to recommend most optimal route to achieve operational efficiency. Additionally, leverage pick-to-light system using IoT technology for accurate picking.
Box Size
Optimization
3D volumetric weight algorithm to recommend optimal box to optimize shipping costs. Options to customize & configure dunnage by item classification.
Directed
PutAway
Self-learning model to recommend putaway bins based on pick frequency, bin-position, item classification, and batch/lot/expiry. Additionally, leverage put-to-light system using IoT technology for accurate putaway.
Smart Carrier
selection
Machine learning algorithm to recommend courier based on carrier performance, ship-method, rate shopping, delivery zone, item classification, and seasonality considerations.
Auto
Replenishment AI
Machine learning algorithm to auto generate replenishment order based on inventory levels, historical demand, sourcing time, sales pattern, growth projections, and seasonality considerations.
Smart Locker
Self-learning algorithm to recommend Smart Locker size & location basis order density, geography, and local presence for unattended driver and customer pickups.
Vision
Technology
Machine learning model to automate quality control processes for fulfillment accuracy or rental operations (authenticity).
Workload
Planning
Self-learning algorithm to recommend pick method (wave, batch, cluster) based on labor availability, work volume, and fulfillment SLA.
Intelligent Load
Optimizer
Machine learning module to optimize container load considering shipment size, shape, and product classification.
Insights
Contact Us
Schedule a demo
Schedule a live demo