Interactive Ecommerce Features

Successful companies deploy AI to help their people create more value. Companies that fail deploy AI to avoid paying people to create value. Clients expect AI’s ROI to come from cost reductions, but bigger wins come from turning cost centers into revenue generators. A large airline client expected AI to reduce its customer service costs. We implemented AI to detect customer intent and deliver outcomes faster. Productivity improved, but instead of laying people off, we deployed a sales coach into select agents’ workflow. One model gives every customer a rating based on how likely they are to buy an upgrade and predicts the top upgrades to recommend. A second model generates a personalized pitch for the customer service agent to use. We ran a 3-sided experiment: 1️⃣ One group of customer service agents kept working on the AI intent-outcome augmented workflow. 2️⃣ A second group was given a generic script and discretion to pitch upgrades without the AI coach. 3️⃣ A third group was given the AI sales coach and discretion to decide when to accept its recommendations and which upgrade to pitch. After 3 months, the second group had an 8% upgrade pitch success rate, and the third group had a 31% success rate. In the first month, the second group pitched more upgrades than the third, but that switched in months 2 and 3. People do not immediately trust AI. They need to see it function reliably before they truly integrate it into their workflows and trust its output. Giving customer service agents discretion was critical for adoption. As the initiative scales to the entire customer service team, the airline expects to make significantly more money from upsells than it would have saved with layoffs. We reclaimed time with the AI intent-outcome agent and used the opportunity to create a new revenue stream for customer service. We found that when customers quickly go from “I have a serious problem,” to “Hello, thanks for calling support, how can I help?” to “Wow, that was an easy fix,” they’re more receptive to upsells. Businesses that win with AI are reorchestrating workflows and finding new ways to create value. Others don’t see these opportunities, so their only option is cost-cutting.

“We just proved something controversial: This AI Agent sells better than humans.” The proof is right here in this video !! We partnered with CPG Wholesalers and Distributors selling multiple brands from top CPG companies (ITC, HUL, Nestle, Coca-Cola, Britannia), and put SCAI to the test, to achieve the following: 1. Call all the Stores for orders 2. Talk to like an expert salesperson 3. Create a Hyper-personalised catalogue for each store 4. Do promo upsell intelligently, specific to the store 5. Cross-Sell with the most relevant SKU, for each store 6. Take the order and push to the DMS/OMS 7. Summarise each call and the conversation sentiment 8. Learn from the calls and improve The result surprised us !! - None of the retailers realised that they were talking to AI !! - 76% of those who picked up engaged in full conversations - 100% believed it was a human calling - 22% placed orders - 8% bought SKUs, never bought before - Most others asked SCAI to call back next time And during these calls, SCAI handled objections, questions, clarifications, calculations, promotions, and even responded well to several unexpected queries it had no prior data for. SCAI outperformed a human seller on all the benchmarks: AI Seller Benchmark vs Human Sellers: 1. Learning time ⟶ Perfect sales calls from Day 1 (score > 92%) 2. Knowledge ⟶ Full Mastery of products, pricing and promotions (> 100%) 3. Expertise ⟶ Cross-sell, promo up-sell, new products (> 96%) 4. Error rate ⟶ Transaction error 0%, conversation accuracy >98% 5. Response time ⟶ <2 sec for replies, <3 sec complex calculations 6. Consistency ⟶ For all the trained scenarios, >95% 7. Objection handling & Reasoning ⟶ Score : >97% for trained scenarios, >90% for unexpected 8. Patience and empathy ⟶ Score : 100% for trained and unexpected scenarios Plus… - Zero Attrition - Zero Absenteeism - Zero Vacant positions - Zero Missed visits/Calls - 24×7 Availability - Scale from 100 → 100,000 outlets instantly But here’s the real point: Why should AI compete with humans? SCAI doesn’t compete with sales teams; ⟶ it gives them superpowers. "AI handles the calls and orders. Humans handle the customers.” It ensures every store gets the perfect call, every day, while humans double down on what they’re best at: building trust and executing at the store. AI isn’t here to replace humans. AI is here to remove the inefficiencies that hold humans back. SCAI executes flawlessly at scale, and humans step in where empathy, judgment, and relationships matter most. ** The Future is Not Human vs AI ⟶ It's Humans with AI, outperforming anything we’ve seen before.** #SCAI is available in all the major languages (50+ languages, including Hindi, English, Spanish, Portuguese, Arabic and others) For early access to talk to #SCAI yourself, comment “SCAI” or request via this Link >> https://lnkd.in/gAkFvAWw #SCAI #SellsBetterThanHumans #AgenticAI

Is your AI roadmap a cost center or a revenue engine? 📉 📈 Too many SaaS companies are stuck asking, "What can AI do?" instead of "What outcome does AI sell?". If you want AI to pay its way, feature prioritization isn't just about cool tech, it's about value creation. Here is the 3-part framework we use at York IE to turn AI into a scalable revenue driver: 1. The Upsell Engine (New Value) Don't just add a chat interface. Prioritize features that deliver "must-have" efficiency. If the AI delivers a tangible productivity gain, it justifies a price increase or a premium tier. 2. The Churn Killer (Intelligent Onboarding) Revenue isn't just new sales; it's retention. Use AI agents to automate the "boring" stuff like configuration and setup. By smoothing the path to value, you secure the renewal before the customer even finishes onboarding. 3. From Analytics to Agents Stop building passive dashboards. The money is in Agentic Workflows. The old way would be a dashboard that alerts a user that "Email open rates have dropped 5%." The new agentic-way is an AI agent that detects the drop, and suggests A/B tests three new subject lines. (And even auto-deploys the winner!) AI might change the pace of innovation, but your Product Strategy is what turns it into ROI. How are you monetizing your AI features today? 💬👇 #SaaS #ProductStrategy #AI #RevenueGrowth