SupplyChainNetworkAi

Drive efficiencies into logistics, optimize routes, and improve stock availability with pre-built ML-powered supply chain network optimization.

Maximize freight and logistics efficiency with route optimization to reduce costs and amplify productivity and network capacity.

Analyze wide range of factors such as traffic patterns, weather conditions, delivery times, and more using AI and ML algorithms to create optimal delivery routes, reduce transit times, and minimize delivery costs, leading to greater customer satisfaction and increased profitability.

Improve stock availability through SKU configuration and warehouse mapping using demand, supply, and consumption signals along with forecasted demand.

Analyze past order data, customer demand, warehouse traffic patterns, inventory levels and other relevant data points to identify the most popular SKUs and optimize storage locations, leading to improved supply chain visibility, and reduce warehouse costs, and an efficient and profitable business operation.

Boost inventory throughout and reduce cost by optimizing freight and logistics turnaround time with historical data, market trends and customer preference.

Factor in external factors such as weather, economic conditions, and market trends along with identifying historical sales patterns and trends to predict future demand and supply with greater accuracy. With such insights, companies can now proactively address potential supply chain disruptions and prevent or reduce unprecedented risks.

Ensure easy deployment and scale performance with public cloud or deploy on-premises as a containerized product.

Unlocking the potential of SupplyChainNetworkAi is effortless, whether you opt for cloud-based deployment or on-premises installation. With our containerized product, scalability and performance are never compromised. Seamlessly deploy on the public cloud for unparalleled flexibility or opt for on-premises deployment for added control. Wherever you choose to deploy, SupplyChainNetworkAi ensures smooth integration and maximum efficiency in optimizing your supply chain operations.

Route Optimization

Maximize freight and logistics efficiency with route optimization to reduce costs and amplify productivity and network capacity.

SKU Configuration and Warehouse Mapping

Improve stock availability through SKU configuration and warehouse mapping using demand, supply, and consumption signals along with forecasted demand.

Demand and Supply Forecasting

Boost inventory throughout and reduce cost by optimizing freight and logistics turnaround time with historical data, market trends and customer preference.

Ensure Easy Deployment

Ensure easy deployment and scale performance with public cloud or deploy on-premises as a containerized product.

Reduce freight costs by up to 14%.

Value Proposition

SupplyChainNetworkAi harnesses the power of Consequential Ai and Machine Learning to reduce costs and risks, and improve operational efficiency in supply chain operations. Experience the power of intelligent supply chain management and unlock new levels of efficiency and success in 6–8 weeks with a guaranteed 5x RoI.

Faster and tangible outcomes
Get tangible value in record time. No more waiting for months or years for uncertain results

Outcome-driven solutions
We put our money where the math is.

Plug, play and go live
Hosted on-premise or as a service, requires no expensive consultants, and is ready to go live

Scalable for businesses of all sizes
Caters to Fortune 5 to mid-sized enterprises across diverse industries

10x Lower costs of Data Enrichment
Build vs buy, Faster, Better, Cheaper. Less cost, less risk

High Value, High ROI, and High Growth

How is SupplyChainNetworkAi better?

SupplyChainNetworkAi enables retail chains, quick-service restaurants, and manufacturers drive tremendous efficiencies into their supply chain operations, inventory planning and projections, and forecasting future demands using advanced technologies such as Artificial Intelligence and pre-built Machine Learning products.

SupplyChainNetworkAi

ML-based approach with self-learning continues to get better with more user interaction and data
Common object model for normalization of data from any system
Compose new systems without rearchitecting your current products
Enrich and improve scattered and incomplete data with ease
Ready-to-use ML-based product available on-premise or as-a-service

Rules-based IT Products

Rule-based systems don’t learn. Need to keep rules updated, tested and deployed. Expensive and painful
Inability to look at data in multiple dimensions
Hard to customize or upgrade and takes several months to update

Fed up with supply chain dead ends and detours?