How POI Data Can Help Third-Party Logistics Companies Fuel International Growth
For third-party logistics companies helping businesses with everything from distribution and fulfillment to mapping delivery structures for optimized service, point of interest (POI) data can provide the competitive advantage needed to secure contracts with corporations looking to expand abroad.
For third-party logistics companies helping businesses with everything from distribution and fulfillment to mapping delivery structures for optimized service, point of interest (POI) data can provide the competitive advantage needed to secure contracts with corporations looking to expand abroad. Mapping emerging economies provides these logistics companies with the information they need to advise on sourcing, production, delivery, transportation, and more in new locations.
Here’s how third-party logistics companies can use POI data to bolster the service economy in global markets, identify upstream supply chain opportunities, and help businesses eliminate operational waste.
Delivering for the services economy in global markets
POI data provides information on every business in a given area. For anyone who has arrived at an incorrect location via ride-hailing app, the value of accurate business location data is clear. How can a service that powers the delivery of passengers, food, or goods establish a strong reputation if their location data is leading customers astray, lengthening delivery times, increasing costs, and driving inefficiencies?
Third-party logistics companies helping delivery services establish their presence abroad can enhance their offerings with accurate, global location data. When a food delivery service wants to expand to new countries, understanding where restaurants are located will be vital to rolling out the logistics of their service in new markets. In this example, POI data would be part and parcel with the intelligence that a third-party logistics company can provide for that location. And this information, while seemingly obvious, is often unavailable and extremely inaccurate in international markets.
In addition to fine-tuning rideshare app operations and informing the expansion of delivery services, third-party logistics companies can also leverage POI data to help retailers perfect their last-mile delivery strategies. With the surge in ecommerce and services that deliver goods right to your door, third-party logistics companies can help businesses in this vertical roll out into new markets with the location information needed to send their drivers on optimized routes and continually prove value to customers.
Optimizing upstream supply chains
For businesses with manufacturing components, third-party logistics companies can use POI data to identify local partnerships in other countries to help organizations cut costs, expand operations, or both. Armed with comprehensive data on local markets, logistics companies can provide the intelligence needed for brands to connect with efficient suppliers, production facilities, and raw material sources in new locations.
Companies are always looking for ways to cut costs, and adjusting upstream supply chain operations presents a potentially effective way to achieve that goal. But how can brands identify the best opportunities without on-the-ground knowledge of markets and communities abroad? Accurate POI data reveals all businesses in a given region, allowing decision makers to appraise their options for sourcing and suppliers before moving forward. And for a logistics company handling outsourced production for a brand, POI data can provide the competitive advantage that sets the logistics firm apart and drives major gains for the brand.
As more companies explore international options for production to cut supply chain costs, the value of accurate POI data intensifies. Particularly as global consumers manage inflationary concerns, brands should be looking for ways to avoid price increases. Adjusting upstream supply chain operations — either by leaning on the intelligence of logistics companies or outsourcing those operations to them altogether — can be what allows a business to succeed during times of economic uncertainty.
Reducing operational waste internationally
Logistics companies often come into play to help companies optimize their operations, from upstream supply chains to last mile delivery. A big part of this puzzle is devising new workflows and delivery routes that reduce waste for businesses. This could be wasted materials, wasted labor and resources on unoptimized routes, and overall missed opportunities to improve the customer experience.
POI data empowers logistics providers to present and execute holistic, locality-informed strategies to help companies optimize their resources. Map structures can reveal new opportunities for efficiency gains in distribution and delivery, while demographic intelligence gleaned from mapping businesses in global economies can inform where companies should set up shop abroad to avoid futile attempts in expansion.
Geospatial data can also empower logistics companies to help their clients boost brand equity. From quick delivery times to accurate geospatial information on map-related apps, customers expect comprehensive intelligence and smooth operations from the companies they patronize. POI data positions logistics companies to help businesses deliver on this promise and boost customer loyalty.
While the benefits of POI data for third-party logistics companies are vast, not all geospatial data is equal. Inaccurate location data is just as useless as no data at all, if not more harmful. Dataplor uses a unique combination of human verification, machine learning, and image recognition to ensure our comprehensive geospatial data is accurate for every location and community we cover.
Third-party logistics companies looking to gain a competitive edge in the market should consider leveraging dataplor’s POI data to inform operational optimizations and enhance the service they provide to their corporate clients. Interested in learning more? Reach out to email@example.com for information on how dataplor can help you get ahead.