Audience

Online merchandisers looking for a tool that offers predictive algorithms, which works on retailer data combined with competitor pricing

About DemFor

Pricing For Profit, Competitor Price Discovery, Demand Forecasting. Enabled By AI & Machine Learning. Delivered a sales uplift of 14.4% for an American brand of casual apparel due to better pricing. Pricing For Profit, Competitor Price Discovery, Demand Forecasting. Intelligent Demand Forecasting. Machine learning and human judgement - We help combine best of both worlds. We incorporate the impact of local events, holidays, back-to-school, school closing, local carnival and games, social signals and macro-economic variables. Demand Forecasting. Store Ordering. Purchase Order Recommendations. Shelf Space Allocation & Optimization. Continious Monitoring And Improvement. Intelligent Pricing. Better price realization to improve Sales & Margin. Determine price elasticity by product, location and day; hence determine the extent of mark-up or markdown. Differential Pricing Strategies. Avoid a race to the bottom. A/B testing to demonstrate.

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Integrations

No integrations listed.

Ratings/Reviews

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Company Information

NextOrbit
Founded: 2014
India
www.nextorbit.com/en/

Videos and Screen Captures

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Product Details

Platforms Supported
Cloud
Training
In Person
Support
Phone Support
Online

DemFor Frequently Asked Questions

Q: What kinds of users and organization types does DemFor work with?
Q: What languages does DemFor support in their product?
Q: What kind of support options does DemFor offer?
Q: What type of training does DemFor provide?

DemFor Product Features

Demand Planning

Capacity Planning Supported
Data Visualization Supported
Historical Reporting Supported
Inventory Optimization Supported
Planned vs Actual Tracking Supported
Product Introduction Planning Supported
Replenishment Management Supported
Sales Forecasting Supported
Supply Forecasting Supported
Promotions Management Not Supported