Background and Challenges
A fast-growing retailer in Australia, selling entirely online with no storefront to fall back on, was leaning hard on an aggressive pricing strategy to fuel that growth. But their previous price intelligence provider was holding them back.
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Poor product matching was the first issue. The previous provider had difficulty accurately matching competitor products, leading to significant gaps in the retailer's competitive analysis. The manual matching process couldn't handle the complexity and large volume of SKUs in their catalog, which only reduced accuracy further.
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Incomplete pricing data compounded the problem. Key pricing information was frequently missing for specific products, brands, or product variants, making it difficult to maintain a complete view of competitor pricing, especially for products lacking standard identifiers like GTINs or UPCs.
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Limited collaboration rounded out the gap. The retailer wanted a partner who could work with them to continuously improve their pricing strategies, something their former provider couldn't deliver.
Wiser's Pricing Solution
Wiser solved these issues with a customized solution built on its Price Intelligence platform.
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Automated and manual product matching gave the retailer a hybrid approach: automated matching at scale, combined with manual matching for products without standard identifiers. This filled the data gaps that had been limiting their competitive analysis and enabled more thorough competitor tracking.
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Category-level pricing strategy support followed from there. Wiser's competitive pricing data helped the retailer's team craft differentiated strategies across five distinct categories in their catalog, from aggressively competitive pricing on key value items (KVIs) to promotional pricing for grocery-like products. That visibility gave the retailer's own pricing team what they needed to adapt their approach by category, whether the goal was moving fast sellers or clearing stock, based on competitor data and internal targets.
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Data flexibility and control mattered just as much as the matching itself. Wiser gave the retailer the ability to manually adjust product matches, so they could quickly refine their data and maintain control whenever discrepancies arose.
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Seamless data integration rounded out the technical side. Wiser delivered pricing data directly to the retailer's Google Storage Bucket, as well as through SFTP, so they could incorporate the data into their broader analytics systems as needed.
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A collaborative partnership tied it all together. Wiser set up weekly touchpoints with the retailer's pricing team, delivering a detailed Match Rate Report that tracked performance and supported ongoing strategy refinement. That report went to the Executive Team every week, keeping decisions grounded in current data rather than a stale snapshot.
Looking Ahead
With Wiser's support, the retailer planned to integrate sales data further into their pricing decisions and expand their SKU range and competitor tracking as they grew. Wiser's Price Intelligence platform continued to power their pricing strategy, giving their team the competitive visibility to make faster, more informed decisions as the catalog scaled.
Talk to Wiser to see what Price Intelligence can uncover for your catalog.
