Intentar ORO - Gratis
Digitally Disruptive Restaurants
PCQuest
|April 2018
‘App’y Restaurants go Ditigal to make Customers Happy
Earlier, several erroneous brands would easily find a way to mislead customers with clever copy writing tricks and tactics, but in today’s digitally smart and well-connected world, bamboozling the customers is not an easy deal and is increasingly becoming a thing of past.
With Facebook, Twitter, Instagram and several other social communities connecting portals available right at their finger clicks, customers now have easy access to all good and bad information relating to each industry. Also, as the market grows, people are more mobile friendly and believe on digital information. They are aware enough not to neglect digital promotion or user engagement. That’s why restaurants are referring to capture the market through digital activity.
The restaurants are now more inclined towards the real-time analytics. They want to inform/educate or promote offers to the customers who are seated in their restaurant same time. It helps the customers to understand what’s new restaurant has to offer them and gives a chance to restaurants to increase their sales.
With the blogging trend at peak, the information relating to all the best and worst products of the food industry, its origins, benefits, ratings, and availability all gets posted at online portals and can be found easily by the customers while relaxing or working on something more urgent. This increasing inter-linking is making the brands take a load of accountability like they never did before.

From Customer-oriented to Service-oriented Research
Esta historia es de la edición April 2018 de PCQuest.
Suscríbete a Magzter GOLD para acceder a miles de historias premium seleccionadas y a más de 9000 revistas y periódicos.
¿Ya eres suscriptor? Iniciar sesión
MÁS HISTORIAS DE PCQuest
PCQuest
When Software Drives the Machine Need for Enterprise-Grade Software
Cars used to fail because of broken parts.Now they fail because of broken code. As vehicles become rolling computers, enterprise-grade software, ruthless testing, and fail-safe architecture decide one thing: whether a car keeps moving safely at 100 km/h
2 mins
March 2026
PCQuest
AI on the ground Practical use cases of AI in large enterprise operations
AI isn't a side project anymore, it's the quiet operator inside global giants. It reads invoices, senses machine fatigue, tailors every customer moment, flags risk in real time, and feeds leaders sharper instincts. Scale just got smarter
3 mins
March 2026
PCQuest
From AI experiments in 2025 to enterprise scale in 2026: Why data foundations will decide the winners
Everyone's betting big on Al, but most are burning cash instead of building value. The hidden culprit? Dirty data, clunky processes, and missing context. What if fixing your foundation, not your algorithms, was the real AI game-changer?
4 mins
March 2026
PCQuest
How automation at the periphery is accelerating digital transformation
Digital transformation is not tearing down the core anymore. It is happening at the edges. With AI and automation layered onto existing systems, companies are cutting costs, boosting productivity by up to 40%, and scaling smarter without risking operational chaos
2 mins
March 2026
PCQuest
When AI moves from chips to racks
AI performance is no longer just about faster chips. It is about how racks, power, networking, and orchestration work together. As agentic AI grows, infrastructure must become predictable, open, and built for scale from day one
4 mins
March 2026
PCQuest
Designing enterprise AI systems that stay fair
In 2026, bias is no longer treated as a communications issue or a public relations headache.
6 mins
March 2026
PCQuest
HALO smart sensor
What if bathrooms, locker rooms, and isolated spaces could become safer without adding cameras?
2 mins
March 2026
PCQuest
Building enterprise AI that doesn't discriminate
Bias in enterprise AI is not a side issue. It starts in data pipelines, training systems, product design, and engineering workflows. As AI scales, fairness, transparency, and accessibility are becoming core software requirements
4 mins
March 2026
PCQuest
Bias travels faster than code
Bias in enterprise AI is not a surface issue. It enters through data, features, model training, APIs, and UI logic, then spreads across the stack. The technical response is shifting from audits to architecture, observability, and deployment controls
6 mins
March 2026
PCQuest
How hospitals can use AI without risking patient data
With the fast pace of adoption of Artificial Intelligence (AI) and digital health systems in Indian hospitals, issues related to the security of patient data are also increasing at an equal rate.
2 mins
March 2026
Translate
Change font size

