e-commerce
Tinyowl partners Ameyo to boost food ordering process
MUMBAI: Tinyowl has joined hands with customer interaction management platform expert, Ameyo. The tie up involves Tinyowl implementing Ameyo’s Customer Engagement Hub to power its inbound and outbound food ordering processes.
Prior to implementing Ameyo, Tinyowl got frequent consumer requests on call drops. This led the company to search for an intelligent contact center technology that was capable of automating the entire dialling process, reducing call abandonments and powering customers’ experience.
Tinyowl co-founder and CEO Harshvardhan Mandad said, “Ameyo’s highly scalable and stable technology has undoubtedly enabled us to manage our entire calling operations in an efficient and smoother way. We have been able to reduce the number of dropped calls from 25% to negligible percentage after its implementation, thus witnessing a significant increase in the business volume.”
“We aim to make consumer’s life easier not just by providing quicker platform but also offering seamless experience to them. For this we always take our consumer’s feedback seriously and work towards the goal,” he added.
Tinyowl believes in customers first theory and have reduced the dropped calls drastically with the help of Ameyo. This led to the increment in their business volume. The abandoned calls, if any, get automatically listed on the Ameyo system, which makes it easy for the agents to follow up.
TinyOwl currently has 140 licenses from Ameyo, which robusts both outbound and inbound call processes.
e-commerce
Amazon unveils first Trustworthy Shopping Experience Report
32,000 bad actors targeted, 15 million fake products removed in 2025.
MUMBAI: In a marketplace where trust is the real currency, Amazon is showing its receipts. Amazon has released its first-ever Trustworthy Shopping Experience Report, offering a detailed look at how it polices its vast digital shelves from counterfeit crackdowns to scam detection and review authenticity. At the heart of the report is a four-pronged strategy, proactive controls, risk anticipation, enforcement against bad actors, and consumer protection. The scale is staggering. Since 2020, Amazon’s Counterfeit Crimes Unit has pursued over 32,000 bad actors globally through litigation and criminal referrals spanning 14 countries.
The clean-up drive accelerated in 2025, with the company identifying and disposing of more than 15 million counterfeit products worldwide. Legal action also led to the takedown of over 100 websites linked to fake reviews and scams, an ongoing battle in the age of algorithmic manipulation.
Behind the scenes, artificial intelligence and machine learning are doing the heavy lifting. Amazon says it monitors billions of daily interactions across listings, reviews, and seller activity to spot trouble before it surfaces. Its predictive systems can even flag potentially infringing listings for trending products before brands raise the alarm.
Tools like Omniscan, which verifies product safety information at scale, and SENTRIX, designed to detect and eliminate phishing websites, are part of this expanding tech arsenal. Together, they aim to reduce risk while keeping the platform usable for legitimate sellers.
That balance between protection and friction is a tightrope Amazon acknowledges. Rohan Oommen, Vice President of Worldwide Customer and Partner Trust, noted that while safeguards are critical, they must not stifle genuine businesses. Features like the Account Health Dashboard are meant to give sellers clearer visibility into compliance and performance.
Consumer-facing measures are also getting sharper. From direct safety alerts to recall notifications and refund guidance, Amazon is leaning into transparency, backed by partnerships with consumer organisations to raise awareness.
The report’s release follows the expansion of Amazon’s Counterfeit Crimes Unit into India, signalling a deeper push into one of its fastest-growing markets, with closer coordination planned between brands, sellers, and law enforcement.
In short, as online shopping grows more complex, Amazon is betting that trust built through data, enforcement, and a fair bit of algorithmic vigilance will be its most valuable product yet.
