Pricing & Assortment
Intelligence
Maximize profitability and conversions with timely pricing intelligence. Our pricing intelligence solutions capture consumer and competitive signals to enable informed pricing decisions. Track a gamut of consumer, market, and inventory signals using our in-house analytics and expertise to get the insights you need to know what products to keep, carry, and drop.
Pricing &
Assortment
Intelligence
Maximize profitability and conversions with timely pricing intelligence. Our pricing intelligence solutions capture consumer and competitive signals to enable informed pricing decisions. Track a gamut of consumer, market, and inventory signals using our in-house analytics and expertise to get the insights you need to know what products to keep, carry, and drop.
Product Use Cases
Price Positioning
By analyzing pricing data across competitors and understanding the value proposition of their own products, we help businesses to position themselves in terms of pricing. This helps them define their pricing strategy and effectively communicate their value to customers, leading to better market positioning and improved customer perception.
Assortment Optimization
We provide insights on data on product assortments, including product categories, SKUs, and product attributes. Ecommerce businesses use this intelligence to optimize their product offerings. By identifying high-demand products, trending categories, and gaps in their current assortment, businesses can make data-driven decisions on which products to add, remove, or prioritize.
MAP and MRP Violation
Based on the geography, compliance to Minimum Advertised Price (MAP) and Maximum Retail Price (MRP) has now become mandatory. Since sellers are often allowed to price products directly on marketplaces, Netscribes assists in monitoring pricing and availability of products at scale and report anomalies for corrective action.
Competitive Price Monitoring
By tracking prices across multiple online retailers or marketplaces, businesses can identify pricing trends, compare their prices to competitors, and adjust their own pricing strategies accordingly. This allows them to stay competitive and ensure their prices are attractive to customers while maximizing profitability.
Product Use Cases
Retailers & Brands
Increasing price transparency has led to buyers comparing products online. This distributor’s sales team feared that they were losing sales, as their products were priced higher than competition. To verify this, they needed a competitive understanding of their price position.
End-to-End Solutions
The merchandising team of a leading retailer wanted competitor intelligence to inform better decisions. However, their previous efforts lacked scale and didn’t account for several competitor products. By leveraging NS end-to-end solutions, they were able to access real-time competitor insights via comprehensive dashboards.
Hourly Price Refresh
A US based toys retailer wanted to drive sharper prices against Amazon while he noticed the retail giant is refreshing the prices on hourly basis. We developed a system which scraped the prices for the competitor on hourly basis and with minimal manual efforts, we refreshed the same on the retailers website.
Dynamic Pricing
A stationary retailer from the APAC region wanted to deliver best prices against its competitors. Based on the pricing rules the retailer provided, we developed a system which started driving sharper prices against all the competitors based on pricing rules. This saved a significant amount of effort at the retailers end, for reviewing the pricing and arriving at the final price using the basic tools.
Minimum Advertised Price (MAP) comparison
US based premium footwear giant wanted to find out which sellers are selling below the MAP. This helped the retailer identify errant sellers (which were causing brand dilution) . Additionally, upon investigating the brand found out
Assortment Gap Analysis
One of the top 10 retailers on the globe wanted to stay in the competition in terms of pricing as well as selection of products, We performed analysis with the crawled data against all the listed competitors to identify the gaps in selection at Best Seller Level. Based on the analysis, the retailer changed the selection in the best seller section and followed it as a regular practice to see the revenue growth.