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Multidimensional Price Analysis

Multi-Dimensional Price Analysis

Evaluate pricing data across price points, geographies, time, categories and competition

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Pricing is a Multi-dimensional Challenge

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A variety of price types

Include a visual showing the price types – list, selling, unit, net effective

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Price and Promotion zones exist

Visual showing pricing and promotion variations across regions

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Price Sensitivity differs across categories

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Intensely Competitive landscape

Leverage Holistic and Accurate Pricing Insights Across

Price Types

Regions

Time

Competition

Price Types

Unit Normalized Price

Unit normalized pricing intelligence for CPG and grocery. Customers have the flexibility to choose units for comparison. Unit normalized price reflects pricing trends and competitiveness more accurately

Price Points

Compare and analyse across different price points with ease.

End User Pricing

Track the net effective price of products after factoring in offers, discounts, taxes and shipping charges. Offers are extracted from digital leaflets and banners and linked to products to arrive at the net effective price.

Regions

Hyperlocal insights

Hyperlocal pricing insights and location-based price analytics. Optimize pricing strategies by analyzing competitive trends at the store and regional levels.

Hyperlocal Insights

Leverage granular pricing intelligence at every level—store, neighborhood, or region.

Time

Historical Trend Chart

Use the sliding timeline to explore historical pricing trends at different time windows. Identify sudden pricing shifts, like competitor markdowns, to swiftly adapt your strategy

Competition

Use filters to view pricing analysis for specific product categories, subcategories, brands and retailers

Frequently Asked Questions

What are the key price points that shape a product’s overall pricing strategy?

A robust pricing strategy takes into account several critical price points that offer insights into both positioning and profitability. These include the list price or MSRP, which serves as a baseline benchmark; the selling price, which reflects what the product is actually offered for on the shelf or online; the unit price, which allows for like-to-like comparison across pack sizes or formats; the promotional price, which highlights temporary discounts or campaign-driven offers; and the net effective price, which is the final price after all applied discounts or bundled deals. Analyzing these price points across retailers enables brands to fine-tune pricing strategies, stay competitive, and make informed decisions that balance margin and market share.

How do price zones impact pricing strategies across different regions or markets?

Price zones enable businesses to segment markets geographically and set differentiated pricing based on regional factors such as consumer demand, competitive intensity, cost variations, and local purchasing power. By assigning stores or regions to specific price zones, retailers can optimize margins while remaining competitive in each market. This approach supports more dynamic, responsive pricing strategies that align with local market realities rather than relying on a one-size-fits-all model.

How does DataWeave support the integration of price analysis with other key metrics like sales volume and inventory?

DataWeave integrates pricing intelligence with critical business metrics such as sales velocity, inventory availability, and demand patterns to provide a unified view of performance. This connected analysis helps businesses understand how pricing impacts sell-through rates, detect overstock or stockout risks, and adjust strategies in real time. By correlating these data points, retailers can make more informed decisions on markdowns, replenishment, and promotional planning to maximize profitability and efficiency.

How can DataWeave assist businesses in optimizing pricing strategies for better profitability?

DataWeave delivers granular pricing intelligence by monitoring real-time price movements, competitor strategies, and market trends across channels. With AI-driven insights and automated alerts, businesses can identify pricing gaps, respond swiftly to market changes, and fine-tune their pricing to boost margins. This proactive approach ensures competitive positioning while safeguarding profitability through smarter, data-backed pricing decisions.

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