The Eversight Retail Pricing Suite is an AI-driven Software as a Service (SaaS) platform aimed at improving everyday price performances in stores. By automating the testing of untested everyday prices within your customer base, the suite ensures continuous revenue and profit growth. Dynamic rules management, AI-powered experimentation, and user-friendly merchant interfaces are leveraged to scale business performance. The platform seamlessly integrates with existing bricks and clicks infrastructure, store operations, and paper tag change processes, promoting an incremental margin growth of 2-5% and revenue growth of 1-3%.
- Goal Driven: The suite automatically ingests standard rule sets and identifies broken rules while also prioritizing rules according to category objectives.
- Dynamic Rules Management: In addition to detecting broken rules, the system intelligently reconciles complex rules and recommends value-enhancing changes.
- Always Current: The suite conducts small-scale experiments with real shoppers to obtain accurate elasticity calculations reflecting current market and shopper price dynamics.
- AI-Powered Experimentation: Provides complete and current datasets that capture current market dynamics, uncovers elasticities efficiently, and captures shopper price perceptions by testing price variations.
- Transparent: Enables human-computer collaboration in decision making, offering flexibility in the relative weight between the two.
The Eversight Retail Pricing Suite is an AI-driven Software as a Service (SaaS) platform aimed at improving everyday price performances in stores. By automating the testing of untested everyday prices within your customer base, the suite ensures continuous revenue and profit growth. Dynamic rules management, AI-powered experimentation, and user-friendly merchant interfaces are leveraged to scale business performance. The platform seamlessly integrates with existing bricks and clicks infrastructure, store operations, and paper tag change processes, promoting an incremental margin growth of 2-5% and revenue growth of 1-3%.
- Goal Driven: The suite automatically ingests standard rule sets and identifies broken rules while also prioritizing rules according to category objectives.
- Dynamic Rules Management: In addition to detecting broken rules, the system intelligently reconciles complex rules and recommends value-enhancing changes.
- Always Current: The suite conducts small-scale experiments with real shoppers to obtain accurate elasticity calculations reflecting current market and shopper price dynamics.
- AI-Powered Experimentation: Provides complete and current datasets that capture current market dynamics, uncovers elasticities efficiently, and captures shopper price perceptions by testing price variations.
- Transparent: Enables human-computer collaboration in decision making, offering flexibility in the relative weight between the two.