Location Intelligence and data management provider Precisely today joined the expanding ranks of companies bringing AI into the fold. Though the company isn’t new to AI, this latest move buttresses its data offerings with things like an AI-powered Address Proximity Search (full list below).
The way Precisely explains this latest slate of offerings is to help enterprises ground their AI initiatives in the real world. It does this by adding spatial context to a given company’s real-world assets. That could mean everything from fleet management to multi-location brands with hundreds of storefronts.
With Precisely’s data, delivered via cloud-native tools, APIs, and SDKs, these organizations can build apps that help them manage and optimize real-world assets. With those apps in place, and powered by smart location data, companies can do things like reveal operational insights and make smart decisions.
The goal in all this is to bridge the gap between AI and the physical world, says Precisely, which can apply to everything from managing a supply chain to location-based marketing. The idea is to be able to ask questions and get real-world insights that would otherwise be buried in reams of data.
Another way to think about this is ChatGPT for the physical world. Rather than an intelligence engine that’s trained on web-based knowledge, it’s an AI engine trained on real-world data. This includes everything from spatial relationships to geographic boundaries to neighborhood-level demographics.
All of this makes sense for another reason: fun fact – precisely acquired longtime location intelligence player PlaceIQ in 2022. That’s presumably where a lot of the real-world intelligence flows into Precisely’s capabilities. For the above value proposition to work, it requires accurate and reliable place data.
Slate of Offerings
Going deeper on the particulars of Precisely’s new slate of offerings, here are the highlights we extracted to save you time.
AI-powered Address Proximity Search (SDK)
Let’s users identify restaurants, stores, points of interest, and more near a given address or coordinate. They can then ask questions like “What services are within a mile of our customers?”
Use cases include:
- Delivery apps that identify nearby vendors or customer locations
- Real estate platforms that surface listings near a point of interest
- Emergency services that locate critical infrastructure
AI Country Identification
When traditional Geo Addressing methods fail to return a result due to incomplete or ambiguous input, the AI Country Identifier can infer the country based on available address data.
Use cases include:
- Consistent country-level data for compliance, analytics, and AI
- Fewer manual workarounds or missing values
- Seamless integration with rule-based workflows
Intelligent Enrichment Recommendations
This recommendation engine helps organizations select the most relevant location-based attributes, such as demographics, boundaries, or risk factors, to enrich their first-party datasets.
Use cases include
- Confidently identify enrichment opportunities
- Improve AI accuracy and personalization
- Eliminate guesswork in choosing datasets that add context
So there you have it. We’ll keep an eye on these tools as they roll out and how they land, especially those that apply to multi-location brands that compete for mindshare in local markets.
Header image credit: Andrea Cau on Unsplash
