Demand Planning and Pricing Solutions for Category Management
Hepsiburada – E-Commerce Retailer
Hepsiburada achieved automated forecasting and inventory optimization, supplementing historical sales data with web searches, click rates and conversion
Solvoyo’s proactive, automated price recommendation solution powered by machine learning will help you adjust your pricing based on your sales targets and current inventory, as well as market dynamics such as changing customer demand and competitor prices
Solvoyo Dynamic Pricing helps automate price updates based on changing supply, demand, and market conditions. Our configurable models can support different business goals, such as meeting sales targets, liquidating aging inventory, and/or maintaining a certain price position for the competition.
Solvoyo brings data-driven decision making and agility to pricing decisions:
Through AI/ML models, our software learns how customers are responding to price actions and adjusts recommendations accordingly
Through automated diagnostics, users can quickly focus on those items requiring pricing actions
Through our flexible integration technology, price changes sent to the ERP system and are executed seamlessly without the need for manual entry
Solvoyo platform also tracks the price actions and measures the markdown performance.
"Cash flow in e-commerce is extremely important; the more free cash we generate, the better we operate. It is extremely important for this type of business...The savings run into the tens of millions of dollars"
AI/ML forecasting models estimating (daily/weekly) potential sales with current pricing, planned promotions, and campaigns
Identifying categories where there is a risk of not meeting sales targets
Recommending price actions for slow-moving SKUs with high stock levels to bridge the gap
Estimating incremental sales due to approved actions
Identifying categories/SKUs that need attention based on business rules (slow movers, aging stock)
Recommending price actions for slow-moving items with high stock levels to bridge the gap
Estimating incremental sales and end of period inventory projections
Identifying categories/SKUs that need attention based on competitor pricing
Recommending price adjustments based on pricing rules and business objectives
Updating forecasts and financials with approved price changes
Hepsiburada – E-Commerce Retailer
Hepsiburada achieved automated forecasting and inventory optimization, supplementing historical sales data with web searches, click rates and conversion
Organizational Agility along with Digital Transformation, Machine Learning, Big Data and Blockchain technologies was one of main trending topics for 2018 and will continue to be
In today’s dynamic and competitive retail landscape, value offering is becoming more relevant to apparel brands competing for the last dollar in a consumer’s wallets.
Automatically identify excess stock and non-performing products
Perform what-if analysis to see the impacts of price actions on your demand
Automatically identify excess stock and non-performing products
Perform what-if analysis to see the impacts of price actions on your demand
React to competitive price actions based on your pricing strategy
React to competitive price actions based on your pricing strategy
Sales projections for end-of-period (week/month)
Tracking against sales or stock-cover targets
Automatic identification of categories or products falling behind sales targets
Recommendations for actions to increase sales