Challenges of Price Intelligence Software for Dynamic Pricing

Challenges of Price Intelligence Solution-Growbydata

You need powerful tools to monitor your key competitors and implement powerful dynamic repricing strategies for consistent business growth. Here are the key challenges that must be addressed when selecting a competitive price intelligence solution –

1. Accuracy of Price Data: Competitors Matched to Product Variant Level

Variant level product matching is the #1 challenge for price intelligence solutions.

That means, if you are selling a pair of Red Nike Air Jordan Size 9 Shoes, you want to compare the price of your SKU with the competing price set by other retailers offering the same SKU. You don’t want the price of Red Nike Air Jordan Size 10 Shoes or that of a different color. Many solutions struggle to offer this precision and don’t give this apples-to-apples comparisons as they can’t achieve this SKU level matching.

2. Ability to Do Price Data Collection Globally from Different Platforms

Ecommerce Price competition is at a global level these days, and global pricing trends are necessary to develop powerful price intelligence. Retailers targeting customers around the world must monitor their competitors’ prices in multiple countries. In order to track such competitor data globally, a powerful data technology and rigorous data quality control processes are crucial. Retailers may want to collect competitive data from US, Canada, UK, Far East, Mexico, South America and other markets daily. You want this data 7 days a week 365 days a year. The ability to get this data reliably is key.

3. Capability to do Large-Scale Data Collection and Monitoring

Price intelligence software must have ability to monitor large product catalog with many SKUs from many competitors on a daily basis from marketplaces like Amazon, ad channels like Google and from their ecommerce stores. With this monitoring, the solution should be able to collect multi-dimensional datasets like reviews that are crucial for your unique pricing strategies.

All this collected data form the basis of any competitive intelligence tool. Thus it is crucial that the solution’s technology, people and processes can handle the volume of data and ensure quality. You need the scale to trust the solution and rely on it to devise your day to day and long term pricing strategies.

4. Automated Repricing Capabilities for Dynamic Pricing

The automated repricing capabilities include an advance pricing rule engine and powerful price export capabilities that support multiple platforms like Amazon, Walmart, Google Shopping and web stores like Shopify, Magento, BigCommerce, Yahoo and others. The ability to interface with major retail platforms empowers you to efficiently offer smart prices for your customers. The best solution should be powerful enough to implement multiple price models and devise various data points to develop advanced dynamic pricing strategies.

If you are searching for a powerful price intelligence solution, check out our solution page to subscribe for a free price report or schedule a free consultation.

Prasanna Dhungel

Prasanna Dhungel is Co-Founder and Managing Partner of GrowByData and drives the firm’s content marketing initiatives. Dhungel has 20-plus years’ experience in big data. Previously, he was Vice President at Valence Health (now Evolent Health) and at D2Hawkeye (now Cotiviti Health). He has an MBA from Kellogg School of Management, MEng from Princeton University and BS with Honors from Cornell University.

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