Yieldigo: Retail Price Management and Optimization Software
Yieldigo helps pricing and category managers automate pricing workflows and simulate the impact of price changes. It is designed for retailers managing complex assortments across multiple regions.
At a glance
- Category
- Sales
- Best for
- Pricing managers, Category managers, Mid-market retailers, E-commerce operations, Retail professionals managing high SKU counts
- Pricing
- Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
- Key use cases
- Competitive Pricing Response, Multi-Regional Pricing Control, Private Label Strategy, Demand-Driven Markdowns
- Integrations
- ERP integration, POS integration, Data warehouse integration, Secure SFTP transfer, API integration
- Official website
- yieldigo.com
Yieldigo is a price management platform designed for professional retail and e-commerce operations. It combines data analytics with a machine learning engine to help businesses set pricing rules and optimize margins using a "glass-box" approach, allowing managers to maintain control over the logic behind price changes.
The software is built for pricing and category managers who handle large numbers of SKUs across various stores, channels, and regions. It supports the creation of complex pricing rules and offers simulation tools to forecast how changes may affect KPIs such as revenue and volume.
Beyond regular pricing, the tool includes modules for promotion planning, markdown optimization, and multibuy (bulk) pricing. It connects with business systems to automate data exchange and may reduce manual spreadsheet work.
Buyers should note that implementation is a multi-month project, typically taking 2 to 4 months for mid-sized retailers and up to 6 months for large enterprises. Prospective users should confirm if they have the required historical transactional data, as the ML engine typically requires 2-3 years of sales data for effective setup.
Key Features
Helps users simulate price changes and forecast the potential impact on margins, revenue, and volume before executing a strategy.
Supports the review of past promotional performance and the planning of future promotions using AI simulations.
Designed for managing multi-tiered bulk pricing (Buy More Pay Less) to help increase basket size while protecting margins.
Supports sell-off and margin-loss optimization to help reduce waste and recover profit.
Supports the automation of daily pricing routines to help reduce manual data entry and potential human error.
Enables different pricing strategies based on geography, store format, or online versus offline channels.
Use Cases
Aggregating competitor price data into market averages or quantiles to inform pricing rules and strategic decisions.
Centralizing pricing competency to manage different price lists and strategies across multiple countries or regions.
Managing price gaps between private label and national brands using group-to-group pricing rules.
Implementing markdowns based on demand patterns to help boost profit and cut waste in grocery or retail settings.
Best For
Integrations
Pricing
Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
FAQ
Implementation typically takes 2–4 months for e-commerce or mid-sized retailers and approximately 6 months for large enterprise deployments.
Standard inputs usually include 2–3 years of transactional sales data, product and category master data, and pricing and promotion-related data.
Yes, it connects to ERP, POS, or data warehouse systems via secure SFTP transfers or APIs.
The software is designed to support various workflows and includes automation and simulation features that may help those with limited resources manage large assortments.
Source category: Sales
Source subcategory: Sales Enablement
