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Tangentia Success Stories

Simplifying Real Estate at Scale​ for Avenue One

AvenueOne, a prop-tech firm handling property purchases/rentals, faced time-consuming, error-prone HUD statement reconciliations amid high transaction volumes. Tangentia’s automation team created bots using Document Understanding IDP to extract key data from HUDs, validate against multiple sources, and push to their database. This slashed reconciliation time and errors while boosting data accuracy.
Rapid, Agile Build to Mission-Critical

Delivered a full end-to-end order management system within 6 weeks, meeting tight launch requirements tied to regulatory change and seasonal demand.

Scalable, Future-Ready Commerce Architecture

The solution, powered by TiA Gateway and Commerce, not only met the initial scope but continues to be actively enhanced, supporting mission-critical operations 24/7, 365 days a year.

Measurable Economic and Marketplace Impact

TiA’s platform underpinned Ontario’s expansion of beer and wine sales into grocery retail, a move expected to generate significant tax revenue and broaden consumer access beyond traditional LCBO and Beer Store channels.

Problem Statement: AvenueOne is a prop-tech company that purchases, rents and leases housing property, HUD (Housing & Urban development) statements are prepared between the buyer and seller for transfer of ownership. Due to the volume of transactions and the number of reconciliations that are validated by the information contained in the final HUD, it is a time-consuming and error prone process. ​
Product Used : TiA Gateway
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Tangentia's Solution

Tangentia’s automation team built bots to extract the reconciliation information from the HUD statements and push it to AvenueOnes database.​
Tangentia Case Studies

Our Impact

Reduction in the time taken to reconcile the HUD statements and reduction in the error rate. Increased accuracy in the extracted data. ​

Highlights

Document understanding IDP tool was used to extract information from HUD statements. Data from multiple sources was used for validation and verification. ​
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