Predictiv Analytics
Pathanalytics machine learning models are constantly trained on data from multiple channels, including sales, inventory, supply chain, marketing, and customer data. This allows our models to find, predict, and forecast as accurately as possible, which drives better sell-through by increasing customer engagement, overall sales, productivity, and operational efficiency.
Predict Sales Trends and Demand
Make Proactive Steps To Improve Sales
Inventory, Demand, and Sales Forecasting
Our machine learning models predict and forecast future sales based on demand, sales trends, customer behavior, and inventory levels. This allows to proactively manage business strategies and goals.
Anomaly, Fraud Detection
Our models automatically detect key business indicators, anomalies, and fraud. They are also driven by custom rules that make them more appealing to business logic.
Actionable Insights
In near real-time, our models detect key business performance indicators, events, trends, and anomalies. They then present these insights as actionable recommendations that can be used to improve business performance.
Improve Sell-through
Our models can help to identify target customers who are likely to make a purchase, the best marketplace, and upsell and cross-sell to existing customers. This can help to increase overall sales and sell-through rate.
Automated Decision Making
Our AI-integrated models can automate most common business decisions, including demand-based supply, price optimization/recommendation, promotional offers, cross- and up-selling opportunities, inventory or fulfillment prioritization, and customer targeting.
Competitive Advantage
Businesses that use our solution to make data-informed decisions, predict future outcomes, and optimize overall business strategies will gain a competitive edge over other businesses in the industry.
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