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Description
Optimizing Pricing for Profit, Gaining Insights on Competitor Pricing, and Forecasting Demand are all enhanced through the use of AI and Machine Learning technologies. This approach resulted in a remarkable 14.4% increase in sales for a popular American casual apparel brand due to more effective pricing strategies. By employing Intelligent Demand Forecasting, we merge the strengths of machine learning with human expertise, taking into account various factors such as local events, holidays, back-to-school periods, school closures, community festivals, social signals, and broader economic indicators. Our services encompass Demand Forecasting, Store Ordering, Purchase Order Recommendations, and efficient Shelf Space Allocation & Optimization, all backed by Continuous Monitoring and Improvement processes. Additionally, we focus on Intelligent Pricing to achieve better sales realization and enhanced profit margins. By analyzing price elasticity based on product, location, and time, we can strategically determine appropriate mark-ups or markdowns. Our Differential Pricing Strategies are designed to prevent a downward pricing spiral, and we utilize A/B testing to validate our methods and results effectively. Ultimately, our comprehensive approach not only supports immediate sales goals but also fosters long-term growth and sustainability in the competitive market.
Description
Pensa identifies and alerts on stock shortages while also forecasting potential low inventory levels. The platform gathers actionable data in real-time, ensuring it is collected more quickly, often, and with greater precision, all at a reduced expense. It enables comparisons of a leading brand's shelf performance against its rivals regarding stockouts, shelf share, and other factors that could affect revenue. Gaining insights into how consumers or third-party pickers substitute your products during stockout scenarios is essential for fostering your incremental growth. By providing a comprehensive view of actual consumer choices among your brand and competitors, Pensa’s ongoing shelf signal offers invaluable insights at scale. Errors in POS and perpetual inventory data that feed into your demand forecasting models can create significant challenges further down the line. By integrating Pensa’s real-time shelf signal with historical indicators such as POS data, businesses can reveal the true demand levels, facilitating the correction of inventory discrepancies and enhancing the reliability of demand forecasts. This approach ultimately leads to more informed decision-making and improved operational efficiency.
API Access
Has API
API Access
Has API
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
NextOrbit
Founded
2014
Country
India
Website
www.nextorbit.com/en/
Vendor Details
Company Name
Pensa Systems
Founded
2016
Country
United States
Website
pensasystems.com
Product Features
Demand Planning
Capacity Planning
Data Visualization
Historical Reporting
Inventory Optimization
Planned vs Actual Tracking
Product Introduction Planning
Promotions Management
Replenishment Management
Sales Forecasting
Supply Forecasting
Product Features
CPG
Customer Management
Electronic Data Interchange
Financial Accounting
Forecast / Demand Planning
Inventory Management
Lot Tracking
Pricing Management
Shopper Marketing
Trade Promotion