Manthan solutions in Analytics for retail bring the power of AI and analytics to every part of your business. From marketing to merchandising, the store to the supply chain, our solutions provide a combination of machine-driven automated insights and automated business recommendations.
Friday, 24 May 2019
Monday, 20 May 2019
Enhancing the Revenue of Your Restaurant with Mobile App Marketing
For any restaurant, customer satisfaction is as important as marketing and branding. Today, diners across the world are very smart and they will think carefully before even sparing a penny. They will visit an eatery only after they go through their website online and compare it with other restaurants. Today they are coming up with their own mobile applications to attract customers. They can look out for any restaurant and the services they offer, go through their menu, order the food before leaving home and book a table through the application.

Here are some ways by which you can enhance the revenue of your restaurant through mobile app marketing:
- Be creative with your food menu: In almost every food app, you will find the food menu to be categorized based on the type of cuisine. However, if you wish to go overboard, you can create a drop-down menu or scroll through. By highlighting the food images, your customers will get to know what they are ordering. You should also add a feature that lets your customer customize their orders, with the choice of toppings and add-ons.
- Easily locate a restaurant: With a mobile app, customers can easily track the location of your restaurant. This will attract more customers. They are also urging the mobile app developers to integrate Google maps and GPS into the restaurant applications.
- Have an active social media presence: Marketing agencies can help you get more traffic and leads, but it is better to do something that you can do on your own. With an active social media presence, you will be able to connect with local chefs and food bloggers and ask them to share their experiences. So, it is critical to integrate your social media with your app. Such steps will help you engage your audience and there are high chances to convert these leads.
- Enhance customer engagement through referrals: Another way to increase customer engagement is by giving them reward points with every referral. Almost all restaurant apps provide such incentives, especially to the first-time visitor and it is a sure shot way to boost customer retention.
- Introduce push notifications: Whether you choose to have personalized notifications or location-based notifications, push notifications are quite effective if you wish to engage customers. You can make use of your restaurant analytics to figure out user preferences and tailor your notifications accordingly.
- Develop a brand identity for your restaurant: One of the effective revenue strategies for a restaurant app is its brand identity. Today, it is imperative for every restaurant to have a mobile app developed. The level of competition is growing and so, it is crucial to have a great visual appeal about the online presence to stand out from the rest.
With the introduction of advanced analytics in the restaurant industry, the customer is having the best experience. Manthan is offering a comprehensive AI-powered solution that caters to the needs of restaurant chains in the form of customer analytics for personalization, targeting, and marketing, operational analytics for the day-to-day management and demand analytics to identify opportunities.
Visit website……………
Contact us
Manthan Systems, Inc.
5201 Great America Parkway,
Suite 320
Santa Clara, CA 95054
Friday, 17 May 2019
Looking at the Future Through Predictive Analytics Techniques
Predictive analytics is a type of data analytics technique that makes predictions about events in the future based on historical data and methods such as machine learning and statistical modeling. Often, companies use historical data to build a mathematical model that captures significant trends. This model is subsequently used on current data to forecast what will happen next.
Predictive analytics can produce future insights with a substantial degree of precision. With predictive analytics tools, any business can use past and current data to consistently forecast behaviors and trends, days, or years into the future.
Benefits of Predictive Analytics
Predictive analytics does not change the motives of people who wish to know what may happen tomorrow, next month or next year, it makes looking into the future more reliable than tools available earlier.
Here is a list of benefits of predictive analytics:
- Offers the power to stop any criminal behavior: With predictive analytics, companies can study user behaviors and actions and spot abnormal activities ranging from corporate spying to cyberattacks to credit card fraud.
- Offers companies more visibility among their customers: By optimizing their marketing campaigns using predictive analytics, companies can generate new customer purchases and encourage cross-sell prospects. With predictive models, companies can attract, hold and nurture their valued customers.
- Offers an opportunity to save money: With the introduction of predictive analytics in retail, companies can estimate inventory requirements, configure store layouts and handle shipping schedules to enhance sales. Airlines use it to fix ticket prices based on past travel trends. The hospitality industry can predict the number of guests who might visit on any given day and take steps to increase revenue and occupancy.

Challenges Associated with Implementing Predictive Analytics
All company executives want faster, smarter decisions, but there is some effort needed to balance data, technology, and people when it comes to changing a business to a predictive analytics model. Executing this technology entails an ideological shift, staff training, and capital investment.
Here are some major challenges that companies face today when implementing AI-driven predictive analytics:
- Recruiting and training people for the right skills: Predictive analytics technology is quite complex, but the knowledge within the industry is not up to the standards. In fact, about 77% of the companies say that the biggest obstacle to successful digital transformation is the lack of skills among people.
- Data quality: Data is the chief inhibitor of extensive adoption of predictive analytics in companies. The most advanced technologies in the world can only use the data we provide. Therefore, it is important that companies are aware of the pitfalls and know how to evade them. More data often means better results from predictive analytics, but it needs to be the right data to solve the problem you wish to solve.
- Data Management: Each company has a source of third-party data and proprietary at their fingertips. Cloud-based solutions that store data remotely in large numbers is an answer to the question of where data should be kept. AI predictive models assess the historical data presented to them and, should a company notice that inaccurate data was fed into their predictive analytics platform, any conclusions reached will be ruled invalid.
Companies that have implemented predictive analytics techniques successfully see prescriptive analytics as the next step. Prescriptive analytics tells how companies must react in the best possible way given the prediction. Manthan offers ways to align different forms of analytics to generate prospects for businesses.
Visit website……………
Contact us
Manthan Systems, Inc.
5201 Great America Parkway,
Suite 320
Santa Clara, CA 95054
Automation and Merchandising Analytics Transforming Retail Merchandising
Retail merchandising is the procedure that guides retail
stores sell their items. On the off chance that you wish to make this procedure
fruitful, you should pick items that will draw in clients, while advancing and
evaluating them in manners that will help deals. In any case, since the soaring
of internet business sites, physical stores are attempting to use the one of a
kind advantages of out-dated, face to face shopping through examination.
With the
coordination of examination and other advanced arrangements, merchandising in
retail is continually developing. Be that as it may, traders need to accomplish
more to satisfy client needs. Against this setting, merchandising is ending up
at a basic articulation point the same number of are attempting to meet client
desires.
What is the Role of Automation in
Retail Merchandising?
A portion of
the centre merchandising duties at driving retailers can be completely
computerized. The time spent making manual reports can be balanced through
mechanized prescient examination. Undertakings, for example, sourcing and
arrangements will require a human touch, however they can be enough bolstered
with institutionalized instruments upheld by bits of knowledge dependent on
outer and inside information focuses and ongoing examination to settle on
better choices.
The Impact of Merchandising Analytics
on Retail Merchandising?
With
merchandising investigation, retailers will almost certainly settle on educated
choices, at strategic and vital dimensions. The arrangements offered by
worldwide examination firms help retailers improve customer facing facade
format and product grouping, upgrade advancements and markdowns, track new item
execution, and improve edges. You will get appropriate data to improve store
execution and set up a key arrangement.
For what reason Should Merchandising
Companies Adopt a Customer-cantered Approach?
To connect
with clients crosswise over different configurations, it is essential to
receive a brought together, omnichannel, and client driven methodology. Today
customers are not adhering to a solitary channel, therefore, retailers need to
discover approaches to ensure distinctive specialty units and capacities
cooperate towards a progressively brought together client experience.
Clients
today expect consistency crosswise over channels yet acknowledge variety when
there is a support.
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