Retailgrid
Retailgrid is an AI-powered pricing and retail analytics platform that enables retailers to optimize prices, promotions, and assortment decisions at scale. It integrates internal data (sales, costs, inventory) with external data (competitor prices and market signals) in a unified workspace.
The platform provides rule-based pricing, dynamic repricing, price elasticity modeling, demand forecasting, and AI-driven optimization. Users can simulate pricing strategies, apply constraints (margin rules, price corridors, rounding), and automate price updates with full transparency and auditability.
Retailgrid operates at SKU level across large assortments and supports omnichannel environments. Its spreadsheet-like grid interface allows teams to create custom metrics, run analyses, and execute pricing strategies in real time.
Typical outcomes include improved margins, stronger price competitiveness, and reduced manual workload.
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Clear Demand Price Optimization
With Clear Demand’s Third-Generation Science, you align your everyday pricing with category strategies across physical and digital channels and throughout the product lifecycle, from introduction to de-listing. Tune and constrain your optimization model to meet internal business pricing rules and deliver on shopper expectations. Rely on our highly-evolved approach to regular price optimization. Clear Demand takes the everyday pricing to the next level of accuracy and speed with superior optimization science powered by Machine Learning. Clear Demand solutions take a more advanced approach to rules definition, prioritization, and processing speed. It is housed in a cloud environment (SaaS) with no limitations on growth as data requirements expand. Machine Learning enables highly accurate determination of each item’s demand curve and most efficient price. Your rules are applied to conform with category strategy and competitive response.
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Pricing Lifecycle
Leading-edge proved solution for the implementation of Pricing, Promotions, and Markdown optimization strategies. Forget parameters, think strategically. Stock Optimisation takes a new approach to replenishment and allocations, based on a best-of-breed regular and promotional forecast. Most retailers use very simple pricing rules based on fixed gross margins. Until trading begins and sales come through, a retailer can never tell if the initial price they have is right. Pricing Lifecycle helps you retain brand integrity and margin protection without destroying price perception. Merge data, pricing strategies and optimization tactics to get to the right price, in every channel, every day; Allows for simulation measuring the impacts on sales, margin, and price image of all your decisions prior to execution. Improves revenue and gross margin from 2-6%.
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XPLN Suite
XPLN is one of the leading solutions for collecting current market data, e-commerce price optimization and comprehensive services in the field of Digital Shelf Analytics. A strong focus on technology, innovation and proximity to the customer enable us to deliver higher quality data to our customers and help them grow their business through valuable insights and confident decisions about offers and positioning. Many well-known retailers and brands trust in us.
XPLN automatically collects market prices from online channels about your own and competitors' offers. Brands and retailers can track online ratings, stock levels, prices, marketplace ranking, and other metrics on a centralized platform. Clients can also define product repricing strategies based on configured rules, utilize the price monitoring engine to determine required changes, and manually or automatically adjust prices in the database. Further protect your brand through MAP monitoring and detecting unauthorized sellers.
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