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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Competera
Competera enhances retailers’ profitability and customer loyalty by leveraging AI to set optimal, customer-centric prices in real time. Our all-in-one platform combines Competitive Data and the Pricing Platform to meet all pricing needs.
• Competitive Data provides real-time, high-quality market insights with a 98% SLA, offering a 360-degree market view to uncover trends and optimize pricing strategies.
• Pricing Platform utilizes Contextual AI with over 20 demand drivers to deliver real-time pricing optimization across all products and channels. Retailers can make data-driven decisions with 95% accuracy, increase basket value, and achieve up to a 6% gross margin uplift.
Our platform reduces the pricing team’s workload by up to 70%, allowing retailers to focus on strategic initiatives. The cost depends on the number of SKUs managed, deployment scale, and product configuration.
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dunnhumby Price
As marketplace competition increases, downward price pressures mean retailers face unsustainably low margins. To succeed and avoid the race to the bottom, retailers must improve Customer price perception and promotional effectiveness, without reducing prices too far. dunnhumby analyses existing strategies and identifies the best tactics for success. So you can optimize pricing strategies to grow margins and profit and boost promotion performance, all while improving customer price perception. Satisfying changing Customer pricing expectations is already a complex task, but combined with the need to hit commercial targets, it can become seriously challenging. dunnhumby Price gives you the ability to strategically optimize prices and forecast outcomes. Using Customer Data Science to recommend optimal base prices, Price helps you build Customer trust, improve value perception, and generate tangible results.
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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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