Local Search

Local search: Local search is an algorithm that is used to find the best solution to a problem by starting with a random solution and then making small changes to it until it finds a better solution.

Local Search is a powerful tool, providing businesses with the opportunity to gain visibility in their local markets. It can be used to build relationships and drive customers to websites, stores or services. By utilising Local Search tools, businesses have access to a wide range of potential customers and an effective way to reach them.

The ability for customers to search locally has been made even easier by advances in technology such as voice-activated searches on devices like smartphones and tablets. This enables customers to quickly find what they are looking for without having to enter extensive search terms into a web browser. With these advancements, Local Search has become increasingly important for businesses who want to stay competitive in their industry.

Local Search also provides valuable insights about customer behaviour that can inform marketing strategies and help brands better understand their target audience. For companies seeking success, understanding how best to leverage Local Search is essential; it offers significant opportunities but must be approached strategically.

What Do Local Searches Mean?

Local search algorithms are a class of techniques used to find optimal solutions in optimisation problems. They involve attempts to improve the solution quality by making local changes which may create an improved, but not necessarily globally-optimal result. These algorithms are used for solving complex optimisation problems with many variables and constraints.

The objective function is at the heart of any local search algorithm; it defines what constitutes an acceptable solution and serves as a measure of how well any given candidate solution fits that definition. Hill climbing or k opt are examples of local optimisation algorithms that use such functions to identify promising candidates for further refinement until a satisfactory result is obtained. Search algorithms like quick search can be employed to traverse the search space efficiently, while customer reviews and BBB business profiles provide valuable additional data points for informed decision-making.

These local searches offer businesses insights into their customers’ preferences and behaviour, helping them make decisions based on accurate feedback from those who matter most: their customers. Google Local Search is one example of this type of tool that provides users with locally relevant information about people, places, and events around them.

How Does Local Search Work?

Local search is a type of search optimisation that seeks to find the best solution within a given set of parameters. It consists of algorithms and techniques used to solve problems involving searching for local or nearby locations, such as finding the shortest path between two points on a map or locating all businesses in an area. Local searches use algorithms based on the travelling salesman problem, free file search, neighbour solutions and other methods to solve these types of problems efficiently.

Local search has become increasingly popular with local businesses looking to create visibility for their business profile online. With Google My Business, local businesses can update their profiles so they appear more prominently when users perform local searches related to their services. This allows them to reach potential customers who are in close proximity to their store location, thus increasing foot traffic into their establishment. Furthermore, different types of local searches exist which allow users to narrow down results according to various criteria; for example, by distance from a specified point or by product category.

By using local searches, businesses can not only increase visibility but also gain valuable insights about customer trends and preferences within specific geographic areas. Additionally, it helps optimize marketing campaigns and provide useful data that enables decision-makers to make smarter decisions regarding investment strategies geared towards expanding their presence across different regions. Consequently, understanding how local search works is essential for any modern business hoping to stay ahead in today’s competitive market environment.

Which Is An Example Of A Local Search?

Local search is a technique that helps businesses to be found by local customers searching for their product or service. It requires an understanding of how search engine optimisation (SEO) works, as well as the use of mobile devices and physical locations. This article will provide an example of a local search in Australia.

Google Search uses data from its index stores to return results when someone makes a query using a specific expression. Businesses located near where the person making the query is can show up at the top of the search results thanks to this technology. The technology behind this process is based on K median and facility location problems. Facility location problems involve finding good positions for facilities so they are able to serve most people in the area efficiently with minimal cost. In order to find optimal solutions for these types of problems, Google’s algorithms need detailed information about Australian businesses, such as business type, geographical coordinates, customer reviews, opening hours and more. With accurate data available, Google can then rank businesses according to relevance and proximity to users' current location.

What Is Local Search In AI?

Local search is a type of Artificial Intelligence (AI) algorithm used to solve optimisation problems. It is also known as simulated annealing or hill-climbing and involves searching for the best solution in a given region using greedy search techniques. Local Search can be applied to many different types of AI algorithms such as Half Moon Bay, High Street, and local restaurants within a geographic region.

The purpose of local search is to find the best possible outcome through exploration and evaluation. To do this, it will use heuristics and other methods to evaluate different solutions until it finds one that meets certain criteria set by the user. This could include finding the most efficient route between two points or finding the lowest cost option for a specific item. Additionally, with some software packages like Wolfram Alpha, users are able to access a local search API which allows them to create their own applications based on parameters they define.

Local search has become increasingly popular due its ability to quickly identify optimal solutions from large datasets without requiring much time or effort from the user. Its application extends beyond basic mapping tasks into more complex problem solving scenarios where multiple variables must be evaluated over long periods of time or under constrained conditions. As such, it provides an effective way for developers and engineers to optimise systems while minimising risk exposure when dealing with uncertain data sets.

Conclusion

Local search is a powerful tool that can be used to find information and services in any location. It works by searching through databases of local businesses, activities, events, or other resources to provide the most relevant results based on user input. An example of this could be a restaurant search engine that returns all restaurants within a certain radius from the user’s current location. In AI, local search involves solving problems with discrete states and actions using algorithms such as hill-climbing and simulated annealing. Local searches are widely used for optimisation tasks since they often require fewer computational resources than global searches, making them more efficient and cost effective.

The advantages of employing local search techniques are numerous: they allow users to quickly locate nearby businesses and services; they enable problem solving tasks to run faster; and they also lead to improved accuracy in many applications due to their ability to take into account local context when providing solutions. As technology advances, so does the sophistication of local search engines which are now able to use additional data sources such as reviews and ratings alongside traditional business listings for greater precision.

From helping people find food near them easily, to aiding in complex decision making processes – the power of local search has been demonstrated time and again over its long history. Its importance will only grow further as advancements continue being made across different fields such as artificial intelligence and machine learning where it plays an integral role in generating accurate recommendations and driving decision support systems alike.

PREVIOUS NARROW AI GLOSSARY TERM

Linear programming

NEXT NARROW AI GLOSSARY TERM

Machine learning

Local Search Definition

Exact match keyword: Local Search N-Gram Classification: Local Business Search, Local Search Engine, Local Search Marketing Substring Matches: Local, Search Long-tail variations: "Local Business Search", "Local Search Engine", "Local SEO" Category: Technology, Internet Search Intent: Research, Solutions Keyword Associations: Geolocation search, Business listings, Map listings Semantic Relevance: Location-based search, Business reviews Parent Category: Technology Subcategories: Geolocation search, Business listings, Map listings Synonyms: Location-based search, Business reviews Similar Searches: Geolocation search, Business listings, Map listings Geographic Relevance: Regional Audience Demographics: Consumers with local shopping needs Brand Mentions: Google Maps, Yelp , Apple Maps Industry-specific data : Reach of local audience within a particular area Commonly used modifiers : “engine” , “marketing” , “optimization” Topically Relevant Entities : Geolocation search ,Business listings ,Map listings ,Business Reviews.

Contact

To schedule a demo or learn more about our software products, please contact us:

"Larry will be our digital expert that will enable our sales team and add that technological advantage that our competitors don't have."

Kerry Smith
CEO, PFD Foods
$1.6 billion in revenue
PFD Food Services uses Complexica's Order Management System

"Lion is one of Australasia’s largest food and beverage companies, supplying various alcohol products to wholesalers and retailers, and running multiple and frequent trade promotions throughout the year. The creation of promotional plans is a complicated task that requires considerable expertise and effort, and is an area where improved decision-making has the potential to positively impact the sales growth of various Lion products and product categories. Given Complexica’s world-class prediction and optimisation capabilities, award-winning software applications, and significant customer base in the food and alcohol industry, we have selected Complexica as our vendor of choice for trade promotion optimisation."

Mark Powell
National Sales Director, Lion
Lion

"At Liquor Barons we have an entrepreneurial mindset and are proud of being proactive rather than reactive in our approach to delivering the best possible customer service, which includes our premier liquor loyalty program and consumer-driven marketing. Given Complexica’s expertise in the Liquor industry, and significant customer base on both the retail and supplier side, we chose Complexica's Promotional Campaign Manager for digitalizing our spreadsheet-based approach for promotion planning, range management, and supplier portal access, which in turn will lift the sophistication of our key marketing processes."

Richard Verney
Marketing Manager
Liquor Barons

"Dulux is a leading marketer and manufacturer of some of Australia’s most recognised paint brands. The Dulux Retail sales team manage a diverse portfolio of products and the execution of our sales and marketing activity within both large, medium and small format home improvement retail stores. We consistently challenge ourselves to innovate and grow and to create greater value for our customers and the end consumer. Given the rise and application of Artificial Intelligence in recent times, we have partnered with Complexica to help us identify the right insight at the right time to improve our focus, decision making, execution, and value creation."

Jay Bedford
National Retail Sales Manager
Dulux

"Following a successful proof-of-concept earlier this year, we have selected Complexica as our vendor of choice for standardizing and optimising our promotional planning activities. Complexica’s Promotional Campaign Manager will provide us with a cloud-based platform for automating and optimising promotional planning for more than 2,700 stores, leading to improved decision-making, promotional effectiveness, and financial outcomes for our retail stores."

Rod Pritchard
Interim CEO, Metcash - Australian Liquor Marketers
$3.4 billion in revenue
Metcash_ALM_logo

"After evaluating a number of software applications and vendors available on the market, we have decided to partner with Complexica for sales force optimisation and automation. We have found Complexica’s applications to be best suited for our extensive SKU range and large set of customers, being capable of generating recommendations and insights without burdening our sales staff with endless data analysis and interpretation.

Aemel Nordin
Managing Director, Polyaire
Polyaire chooses Complexica for sales force optimisation and automation

"DuluxGroup is pleased to expand its relationship with Complexica, a valued strategic partner and supplier to our business. Complexica’s software will enable DuluxGroup to reduce the amount of time required to generate usable insights, increase our campaign automation capability, personalise our communications based on core metrics, and close the loop on sales results to optimise ongoing digital marketing activity."

James Jones
Group Head of CRM, DuluxGroup

"Instead of hiring hundreds of data scientists to churn through endless sets of data to provide PFD with customer-specific insights and personalised recommendations, Larry, the Digital Analyst® will serve up the answers we need, when we need them, on a fully automated basis without the time and manual processes typically associated with complex analytical tasks.”

Richard Cohen
CIO, PFD Foods
$1.6 billion in revenue
PFD_Food_Services

"As a global innovator in the wine industry, Pernod Ricard Winemakers is always seeking ways to gain efficiencies and best practices across our operational sites. Given the rise of Artificial Intelligence and big data analytics in recent times, we have engaged Complexica to explore how we can achieve a best-in-class wine supply chain using their cloud-based software applications. The engagement is focused on Australia & New Zealand, with a view to expand globally."

Brett McKinnon
Global Operations Director, Pernod Ricard Winemakers
Pernod_Ricard_Logo

"70% - 80% of what we do is about promotional activity, promotional pricing -- essentially what we take to the marketplace. This is one of the most comprehensive, most complex, one of the most difficult aspect of our business to get right. With Complexica, we will be best in class - there will not be anybody in the market that can perform this task more effectively or more efficiently than we can."

Doug Misener
CEO, Liquor Marketing Group
1,400+ retail stores
Liquor Marketing Group LMG uses Complexica's Promotional Campaign Manager

"The key thing that makes such a difference in working with Complexica is their focus on delivering the business benefits and outcomes of the project."

Doug Misener
CEO, Liquor Marketing Group
1,400+ retail stores
Liquor Marketing Group LMG uses Complexica's Promotional Campaign Manager

"Australia needs smart technology and people, and it has been a great experience for me to observe Complexica co-founders Zbigniew and Matt Michalewicz assemble great teams of people using their mathematical, logic, programming, and business skills to create world-beating products. They are leaders in taking our bright graduates and forging them into the businesses of the future."

Lewis Owens
Chairman of the Board, SA Water

"Having known the team behind Complexica for some years ago now, I am struck by their ability to make the complex simple - to use data and all its possibilities for useful purpose. They bring real intelligence to AI and have an commercial approach to its application."

Andrew McEvoy
Managing Director, Fairfax Media - Digital

"I have worked with the team at Complexica for a number of years and have found them professional, innovative and have appreciated their partnership approach to delivering solutions to complex problems."

Kelvin McGrath
CIO, Asciano

“Working with Complexica to deliver Project Automate has been a true partnership from the initial stages of analysis of LMG’s existing processes and data handling, through scoping and development phase and onto delivery and process change adoption. The Complexica team have delivered considerable value at each stage and will continue to be a valued partner to LMG."

Gavin Saunders
CFO, Liquor Marketing Group
Liquor Marketing Group LMG uses Complexica's Promotional Campaign Manager

“Complexica’s Order Management System and Larry, the Digital Analyst will provide more than 300 Bunzl account managers with real-time analytics and insights, to empower decision making and enhanced support. This will create more time for our teams to enable them to see more customers each day and provide the Bunzl personalised experience.”

Kim Hetherington
CEO, Bunzl Australasia

"The team behind Complexica develops software products that are at the cutting edge of science and technology, always focused on the opportunities to deliver a decisive competitive edge to business. It has always been a great experience collaborating with Matthew, Zbigniew and Co."

Mike Lomman
GM Demand Chain, Roy Hill Iron Ore

"The innovations that the Complexica team are capable of continue to amaze me. They look at problems from the client side and use a unique approach to collaborating with and deeply understanding their customers challenges. This uniquely differentiates what they bring to market and how they deliver value to customers."

John Ansley
CIO, Toll Group
toll_logo

"Rather than building out an internal analytics team to investigate and analyse countless data sets, we have partnered with Complexica to provide our sales reps with the answers they need, when they need them, on a fully automated basis. We are excited about the benefits that Larry, the Digital Analyst will deliver to our business.”

Peter Caughey
CEO, Coventry Group
Coventry_Group_v2

Kim Hetherington
CEO, Bunzl Australasia

"After an evaluation process and successful proof-of-concept in 2016, we have chosen to partner with Complexica to upgrade the technological capability of our in-field sales force. The next-generation Customer Opportunity Profiler provided by Complexica will serve as a key tool for sales staff to optimise their daily activities, personalise conversations and interactions with customers, and analyse data to generate actionable insights."

Stephen Mooney
Group Sales Capability Manager, DuluxGroup
$1.7 billion in revenue
Dulux Group uses Complexica's Customer Opportunity Profiler

"After evaluating a number of software systems available in the marketplace, we have ultimately selected Complexica as our vendor of choice for sales force automation and CRM. Given the large SKU range we carry and very long tail of customers we serve, Complexica’s applications are best suited to deal with this inherent complexity without burdening our staff with endless data entry."

Nick Carr
CEO, Haircaire Australia
Australia's largest distributor of haircare products
Haircare Australia to use Complexica's Customer Opportunity Profiler, CRM and Order Management System

“Asahi Beverages is Australia’s largest brewer, supplying a leading portfolio to wholesalers and retailers, including some of Australia’s most iconic brands. Last year Asahi Beverages acquired Carlton & United Breweries, which is its Australian alcohol business division. To harness the strength of our expanded portfolio, we partner with our customers to run multiple and frequent trade promotions throughout the year, delivering long-term growth for both our business and theirs. Given the inherent complexity in optimising promotional plans and our continued focus on revenue and growth management, we have selected Complexica as our vendor of choice after a successful Proof-of-Concept of its world-class optimisation capabilities.”

Kellie Barnes
Group Chief Information Officer
Asahi Beverages
Asahi