Supply Chain Automation Suite
Seeloz's Supply Chain Automation Suite (SCAS) is an AI-Driven software solution that minimizes inefficiencies.
SCAS injects a layer of smartness between Enterprise Resource Planning (ERP) systems and other systems managing customer data.
With AI driven workflows, day-to-day operations are empowered with the intelligent understanding of current and forecasted needs.
Seeloz's SCAS can be tailored to the needs of professionals across the food and healthcare value chains.
Seeloz's Decision Support mechanism empowers leadership, top management, middle management and operators with actionable insights allowing them to take proactive and corrective decisions to completely avoid potential performance problems and timely handle sudden irregularities.
To achieve this goal, SCAS’s 360 Views provides each business user with comprehensive visibility about all angles of critical aspects of the business through five basic components:
a) Big Data insights about past and current performances
b) AI-driven forecasts about the future
c) AI-driven Anomaly Detection regularly spotting irregular behavior (spikes or drops) across the whole enterprise
d) AI-driven Root Cause Analysis detailing the most granular causes of irregular behavior
e) Recommendations detailing the best course of action to deal with a current problem or proactively avoid a future problem
Process Automation leverages AI to inject automation into daily workflows across the supply chain.
The Process Automation solution has four modules that can work together or independently:
a) Autonomous Procurement: Sets (or recommends) the optimal amount to procure for each item to optimize customer satisfaction and minimize all sorts of waste.
b) Autonomous Inventory: Sets (or recommends) the optimal amount to keep of every item at each warehouse.
c) Proactive Salesman: Recommends to the sales representative what to sell to each customer, at each location, and at what price with recommended discounts.
d) Autonomous Delivery Scheduler: Optimizes delivery schedules to ensure customer satisfaction and minimize supply chain inefficiencies.
With AI driven Process Automation, we can forecast needs, determine target inventory levels, and optimize re-ordering at the warehouse level to reduce supply waste by 50 to 80%.