SetSail Debuts New AI-powered Solutions to Help Sales Teams Unlock More Revenue

SetSail, the AI-powered micro-incentives platform for sales, will unveiled multiple new product features on at the company’s first annual SetSail Voyage virtual conference. New SetSail features include a signal-based coaching app; smart milestone signals to help reps accelerate revenue; and data automation tailored to the way reps use their CRM.

The world of work has changed in the past year, and the ‘new normal’ requires a new way of selling,” said Haggai Levi, CEO of SetSail. “To be successful today, sales teams must embrace data, signals and storytelling. This is where SetSail comes in – providing sales teams with the information they need to take the small steps that lead to closing big deals.”

Founded in 2018 by former Google machine learning experts, SetSail uses AI to identify the buying signals needed to close a deal. The platform then converts these signals into recommendations for sales reps and presents them with micro-rewards (e.g. monetary rewards and recognitions) for following the best path of action and building good selling habits.

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Stockly lets e-commerce websites sell out-of-stock items from a shared inventory

Meet Stockly, a French startup that keeps the inventory of various e-commerce websites in sync. When you see an out-of-stock item on an e-commerce website, chances are you leave that website and try to find the same item on another site.

If you operate an e-commerce website, Stockly lets you sell items even when they’re currently out of stock. The startup automatically finds a third-party Stockly supplier with that specific item.

The order will go through and be sent by that supplier directly. Stockly tells its partners to use neutral packaging so that the end consumer isn’t confused.

This could be particularly useful for small-scale e-commerce companies that don’t have a healthy marketplace of third-party retailers. For instance, Amazon can already sell you an out-of-stock item if a supplier has listed that specific item on Amazon’s own marketplace. But that’s not the case for most e-commerce websites.

The main challenge for Stockly is that it has to sort through various catalog formats and match the different inventories of different retailers. It is focusing on clothing items at first. When an order is routed through Stockly, it selects a specific supplier based on different criteria, such as logistics, delivery time and historical data.

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WeGift Raises $12M in Series A+ Funding

WeGift, a London, UK-based company providing the infrastructure for the incentives economy, closed a $12m funding round.

The round was led by AlbionVC with participation from new investor CommerzVentures, as well as Stride.VC, SAP.iO Fund, and Unilever Ventures.

The company intends to use the funds to continue to expand operations and its business reach.

Led by Founder and CEO Aron Alexander, WeGift provides a cloud-based platform and open API solution serving a broad set of needs for medium and enterprise businesses, including acquisition, retention, recognition, and reimbursements. Operating in more than 30 countries, and dozens of languages and currencies, the company’s digital payouts platform and open API solution is directly integrated into every brand on its platform, offering corporate buyers a global network with direct access to more than 700 brands. Habito, Perkbox, Seated, Sodexo, Vodafone, and Vouchercodes all use WeGift’s to digitally engage their audiences.

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Automated speech recognition gives CX vendor an edge

Sharpen, a vendor of a cloud-based contact center platform, offers an automated transcription service as part of its software package. It’s free, which its customers like, but a few years ago, Sharpen was getting complaints from customers that its transcriptions weren’t accurate.

“The transcription wasn’t great,” said Adam Settle, Sharpen’s vice president of product, who declined to name the automated transcription software vendor that the company used.

The customer wanted to use the service for keyword spotting, he said. But, he added, “searching for a keyword is kind of pointless” if the transcription is wrong.

The complaint sparked Sharpen to search for a new automated transcription vendor. That search eventually led them to Deepgram, an automated speech recognition startup founded in 2015.

A new vendor

Sharpen first became acquainted with Deepgram a few years ago, after seeing it demonstrate its automated speech recognition platform at a conference.

The platform, built on deep learning models, can come pre-trained on Deepgram’s library of calls. Users can upload pre-labeled speech files or label speech as they go, to further train and customize the platform.

Users can run the platform in the cloud or on premises and can access the speech recognition models through APIs.

Sharpen tested the products of numerous startups and big-name tech vendors before choosing Deepgram. Each had its problems, however. Some platforms, like the one from their first vendor, didn’t provide accurate transcriptions. Others, including systems from Google and Amazon, were too expensive, Settle said.

Some platforms “were eight times the cost without being eight times the quality,” he said.

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SAP Customer Experience Live Munich

On November 4th, our organization hosted an exclusive pre-event for SAP Customer Experience Live Munich.

Held at the SAP Customer Experience Labs showroom, the “Experience: Innovation” meetup brought together diverse internal and external stakeholders, with the goal of sharing knowledge and cultivating valuable relationships around key innovation topics. We were happy to welcome over 50 attendees of customers, partners, and members of the press. The unique event was made possible by sponsor and partner Netconomy, as well as appreciated contributors SAP.iO, SAP Digital Commerce, and SAP C/4HANA Foundation.

Our program was kicked off with a rousing introduction from Eugenio Cassiano (Chief Innovation Officer at SAP CX), followed by an in-depth look at our current research and development into emerging technologies, provided by Georg Kreimer (Head of SAP CX Labs).

Next, the audience was treated to a lighthouse customer discussion between Harry Thomsen (SAP Regional President Middle & Eastern Europe) and Johannes Langguth (Senior Director, Finance Systems, Delivery Hero).

In the breakout sessions, attendees toured the SAP.iO Foundry Munich and heard pitches from startups participating in the current Commerce and Marketing accelerator program. They also learned about the progressive B2B omnichannel experiences provided by the SAP App Center, and how SAP Cloud Platform Extension Factory and open source project Kyma enable easy, agile augmentation of SAP C/4HANA solutions.

Through engaging talks, inspiring showcases, and opportunities to network with like-minded peers, the “Experience: Innovation” event was a great success.

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Revuze and Gaprise Partner Bring Self-service CX to Brands in Japan

With increased demand to predict products success in the market and to understand markets needs and sentiment, Japan-based Brands can now have an opportunity to learn from their consumers and improve their Products competitive edge.

Revuze enables brands to quickly understand their product and customer satisfaction issues, and to automatically score and rank their brand’s performance relative to its competitors and to the market.

Revuze uses AI, powered by Natural-language programming (NLP) and machine learning, to empower Brands that previously have relied on manually intensive solutions, such as text analytics, social listening and monitoring with a simple online service. Without the need to pre-define a single keyword, rule, topic or sentiment value – Insight Analysts can access the most nuanced information available. The data is delivered, via a single screen, about consumers and their needs, across thousands of internal and external data sources, on any given product Category.

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