Seller Tools and Features Overview

I wasted $47k testing 200+ AI sales tools so you don't have to. Here's the exact stack that took us to $6M ARR: 1,300+ AI sales tools exist in 2025. Most are unnecessary. Here's what you actually need: 1/ Accurate B2B data Data quality determines campaign performance. Everything downstream depends on this foundation. Your sourcing options: - Standard databases: LinkedIn Sales Navigator, Ocean.io, Apollo - Niche targeting: Openmart for local business focus - Custom scraping: Apify, Instant Data Scraper for specific requirements - Intent signals: Clay, Common Room - prospects showing buying behavior - AI agents: Claygent, Relevance AI, Exa, Linkup - automated prospect discovery 2/ Reliable data enrichment Valid contact information is non-negotiable. You need verified emails and phone numbers. Two approaches: - Point solutions: Prospeo.io, Wiza, LeadMagic - specialized tools - Waterfall platforms: FullEnrich, Clay - multiple data sources in sequence 3/ Engagement platforms - Email solutions: Instantly.ai - LinkedIn outreach: Expandi.io, Valley - Multi-channel: lemlist - email + LinkedIn 4/ Deal execution When prospecting generates consistent pipeline, you need a system to close those deals: - CRM: Attio, Breakcold for deal tracking - Intelligence: Attention, Momentum.io - call recording, CRM enrichment, next-step recommendations The strategic advantage comes from integration, not tool quantity. What's your latest stack addition? Want weekly breakdowns of the tools that actually work? Join 10,000+ reading getting our AI sales newsletter.

Rufus is an AI designed to revolutionize product discovery through natural language understanding, inference, and multimedia optimization. Here's how it works and how sellers can use it to boost their sales. Rufus changes the rules of product discovery by focusing on context, not just keywords. Instead of matching queries like "desk lamp" to products with the same exact words, Rufus identifies noun phrases and their relationships. For example: 1. A shopper asks: "What lamp is best for reading in bed?" 2. Rufus identifies key phrases like “reading lamp” and “bedside.” 3. It ranks products semantically, recommending items with phrases like “adjustable bedside reading lamp with eye-friendly light.” This ensures shoppers see relevant, high-quality products tailored to their needs. Key Features  1. Noun Phrase Optimization (NPO): Rufus focuses on detailed, descriptive phrases. Sellers should build product titles and descriptions differently: ▪️ Instead of: "Table Lamp" ▪️ Use: "Vintage Brass Table Lamp with Adjustable Arm for Home Office." 2. Visual Label Tagging (VLT): Rufus reads images as well as text. Adding overlays like “Energy Efficient | 6 Brightness Levels” directly on product images can increase discoverability. 3. Semantic Understanding: Rufus connects implied customer needs to product benefits. For example, it knows “easy-to-clean” is relevant for a query like “pet-friendly couch.” 4. Q&A Enhancement: Rufus thrives on clear answers to common customer questions. Example: Q: “Does it fit a queen-size mattress?” A: “Yes, our bed frame is designed for all queen-size mattresses up to 12 inches thick.” 5. Inference Optimization: Rufus maps product features to inferred benefits. A product labeled “durable non-stick pan” might also be shown for “easy-to-clean cookware.” Steps Sellers Need to Take 1. Optimize Product Titles with Rich Noun Phrases ▪️ Use descriptors like material, design, and purpose. Example: “Professional Chef Knife Set with German Steel Blades”. 2. Enhance Images with Text ▪️ Include labels like “Anti-Fog Coating | Shatterproof Design” directly on images. ▪️ Ensure images demonstrate key features clearly 3. Leverage FAQs ▪️ Anticipate shopper questions and weave them into your listings. Example: Q: “How do I clean this air fryer?” A: “Wipe with a damp cloth or place removable parts in the dishwasher.” 4. Use Semantic Context in Descriptions ▪️ Avoid keyword stuffing; write naturally. Example: “This ergonomic office chair supports your back during long hours at your desk, making it perfect for work-from-home setups.” 5. Update Content Regularly ▪️ Monitor trends in customer queries and adapt your listings accordingly. If shoppers search for “eco-friendly packaging,” ensure your products highlight those features. 6. Incorporate Click Training Data Insights ▪️ Analyze which features customers click on most and highlight them in your product content. Amazon’s Rufus thrives on detailed, customer-centric content.

Search bars don’t solve problems. But Amazon’s new Seller Assistant just might This is what started as “Project Amelia” beta last year, but now as a "Seller Assistant" that has been re-engineered to follow you through workflows, propose a plan, and even take approved steps while you stay in control. What stands out is not only what it can do, but how it does it. It feels personalized and close to your account. What is different now 🤌 It works across the journey. Listing, inventory, account health, compliance, advertising, and growth planning. 🤏 It is proactive. Flags slow movers before fees hit, watches health metrics, and proposes fixes. 🤝 It stays with you. You can ask a question, jump into the page it suggests, and keep the thread going if the first path is wrong. That changes how you troubleshoot. Instead of opening a case, waiting, and re-explaining the issue, you can redirect in real time and refine the path. So this is more like a co-pilot that stays with you through the workflow. Where to put it to work first ✅ Inventory and FBA optimization. Ask for a pre-holiday plan that balances AWD vs FBA, routes to fastest speeds, and avoids aged fees. Approve the plan or edit it. ✅ Account health. Ask for a status summary, what triggered each warning, and the exact steps to clear it. Approve the resolution when it makes sense. ✅ Compliance. When listing, let it check the documentation and standards, then walk you through what is missing and why. ✅ Growth planning. Ask for category expansion ideas mapped to demand signals and required ops changes, not just a list of keywords. Is it perfect? No. It is still learning. But it raised the standard, and when used well, it saves hours on tasks that used to be stop-and-start across multiple tabs. The real opportunity isn’t in asking “what does this policy mean?” but in learning to ask the assistant. The sellers who treat it like a back-and-forth partner will get the most leverage. #Amazon #Sellers #AccountHealth #AI

I’ve been unpacking B2C sales as an emerging category, driven by the need for specialized solutions that can keep pace with increasingly complex requirements. Think of it: • Effective lead distribution needs to go beyond standard contact center routing, supporting equitable lead allocation to sellers, rewarding high performers, or using AI to match each lead with the seller most likely to close • Franchise models rely on call tracking to ensure brands can optimize leads distributed to dealers/agents and measure performance • Speed-to-lead is essential when leads originate from third-party providers or in transactional sales where the first contact wins • Conversational commerce and AI agents acting as concierges help overcome the limits of unassisted e-commerce by providing always-on guidance to prospects. • Voice remains the primary channel for closing sales, with advanced dialers leveraging answering machine detection forming the backbone of engagement • Modern operations require workflow tools to manage sophisticated call flows, including personalized voicemails, call bridging, and multi-channel engagement sequences • Sales-specialized campaign managers go beyond segmentation to enforce compliance, optimize a finite pool of seller resources, balance competing campaigns, and prioritize the most critical calls • Number reputation management monitors each number’s performance to maximize reach and reduce spam flagging. Branded calling builds on that foundation by adding a layer of trust • AI transforms lead nurturing by adapting to prospect pace and emotional state, creating whole new ways to warm leads • Customer onboarding has become a critical stage in the buying journey, requiring proactive assistance and timely seller involvement when exceptions surface or decisive moments occur • Real-time conversation intelligence and next-best-action engines can turn service calls into revenue moments • Sellers need streamlined workspaces that minimize cognitive load and context switching, with real-time guidance and coaching layered in • Measurement must extend beyond revenue to include productivity insights powered by quality monitoring, conversation intelligence, and performance management A few B2B salestech vendors have been adapting their offerings for B2C, but the most meaningful moves are coming from UCaaS and CCaaS providers, along with pure-play specialists. Contact center vendors such as Five9, with its Acqueon acquisition, and NiCE, through its acquisitions of LiveVox and ContactEngine, are expanding their stacks. Several UCaaS vendors, including 8x8, Dialpad, RingCentral, and Zoom, have made sales a core use case and introduced sales-focused products. B2C-focused providers are also broadening their platforms, whether from the outbound side with Conquer, Convoso, Readymode, and REGAL, or from the inbound side with CallRail, CallTrackingMetrics, Convirza, and Invoca. Full article in the 1st comment to this post #salestech #b2c #sales

Most Sales Navigator users overlook the Account Pages. That’s a huge mistake. It's where predictable pipeline growth will live or die. Here’s how I use 9 Account Page features as part of my system-led prospecting strategy: 1️⃣ 𝐀𝐜𝐜𝐨𝐮𝐧𝐭 𝐈𝐐 → 𝐌𝐲 𝐫𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐞𝐧𝐠𝐢𝐧𝐞 It instantly tells me how the company makes money, its priorities, & challenges. Instead of guessing, I use this context to win trust. 💡Use it before every call so you can focus on having smart conversations, not scrolling for data. 2️⃣ 𝐏𝐫𝐢𝐨𝐫𝐢𝐭𝐲 𝐀𝐜𝐜𝐨𝐮𝐧𝐭𝐬 → 𝐌𝐲 𝐯𝐢𝐬𝐮𝐚𝐥 𝐫𝐞𝐦𝐢𝐧𝐝𝐞𝐫 I star key accounts so they stay prominently on my Sales Navigator dashboard. Every login reminds me of who matters most. 💡This keeps high-value opportunities visible, active and a focus. 3️⃣ 𝐑𝐞𝐥𝐚𝐭𝐢𝐨𝐧𝐬𝐡𝐢𝐩 𝐄𝐱𝐩𝐥𝐨𝐫𝐞𝐫 → 𝐌𝐲 𝐰𝐚𝐫𝐦 𝐢𝐧𝐭𝐫𝐨 𝐟𝐢𝐧𝐝𝐞𝐫 It shows me who I know (and who I should) inside the account. Warm paths almost always outperform cold ones. 💡Focus on shared connections; proximity drops barriers. 4️⃣ 𝐏𝐞𝐫𝐬𝐨𝐧𝐚𝐬 → 𝐌𝐲 𝐭𝐚𝐫𝐠𝐞𝐭𝐢𝐧𝐠 𝐟𝐢𝐥𝐭𝐞𝐫 You can create up to 5 personas for the roles you want to reach - I have 2. This saves hours sifting through large organisations to identify likely contacts quickly. 💡It’s not just who you contact, it’s targeting the best in the buying team. 5️⃣ 𝐑𝐞𝐥𝐚𝐭𝐢𝐨𝐧𝐬𝐡𝐢𝐩 𝐌𝐚𝐩 → 𝐌𝐲 𝐥𝐢𝐯𝐞 𝐨𝐫𝐠𝐚𝐧𝐢𝐬𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐜𝐡𝐚𝐫𝐭 It helps me visualise the buying team. I can tag who’s a decision-maker, influencer, or champion, and track the strength of relationships. 💡The more mapped connections you have, the safer the deal & stronger the account. 6️⃣ 𝐍𝐨𝐭𝐞𝐬 → 𝐌𝐲 𝐦𝐞𝐦𝐨𝐫𝐲 𝐛𝐚𝐧𝐤 I log every insight, update, or call summary. Private or shared, notes create continuity in long-deal cycles. 💡Build personalised follow-ups straight from your own notes. 7️⃣ 𝐁𝐮𝐲𝐞𝐫 𝐈𝐧𝐭𝐞𝐧𝐭 𝐒𝐢𝐠𝐧𝐚𝐥𝐬 → 𝐌𝐲 𝐫𝐚𝐝𝐚𝐫 𝐟𝐨𝐫 𝐭𝐢𝐦𝐢𝐧𝐠 It reveals when people from a target account engage with my brand. When people show interest, they’re a lead. If qualified – bingo. 💡Engage when the signal is warm, not weeks later. 8️⃣ 𝐆𝐫𝐨𝐰𝐭𝐡 𝐈𝐧𝐬𝐢𝐠𝐡𝐭𝐬 → 𝐌𝐲 𝐨𝐩𝐩𝐨𝐫𝐭𝐮𝐧𝐢𝐭𝐲 𝐬𝐜𝐚𝐧𝐧𝐞𝐫 I track hiring trends, headcount changes, and role growth. It helps uncover where services might be needed next. 💡Data on small teams often signals outsourcing opportunities. 9️⃣ 𝐀𝐥𝐞𝐫𝐭𝐬 → 𝐌𝐲 𝐫𝐞𝐚𝐥-𝐭𝐢𝐦𝐞 𝐞𝐧𝐠𝐚𝐠𝐞𝐦𝐞𝐧𝐭 𝐰𝐢𝐧𝐝𝐨𝐰 Career changes, company news, and new decision makers are all delivered in real time. Every alert is an opportunity to start a conversation. 💡Turn alerts into action: comment, message, engage. Most salespeople do some research. The best salespeople engineer systems that surface opportunities daily. If you’re serious about winning on LinkedIn… Don’t ignore your Account Pages. Save this post, implement it, and build a predictable LinkedIn pipeline.

🛠️ ABOUT YOU Seller Center – the new all-in-one tool for marketplace sellers ABOUT YOU has redefined its marketplace model. Instead of a restrictive selection process, the platform is now opening its doors to all European fashion brands – supported by a single tool that covers the entire process: the Seller Center. Why is this exciting? 👉 The Seller Center combines all essential integration steps in one interface: from registration and the KYC process to product uploads and ongoing marketplace business management. 👉 Sellers can decide how to integrate their products - via Shopify, API, Excel, integrators, or manual entry. 👉 Logistics are flexible, with either Fulfillment by Seller or Fulfillment by ABOUT YOU (FbAY). In the coming months, the platform plans to expand both options to many more European countries. 👉 And the best part: brands can go live in just 4 weeks - with no listing or platform fees. Fees only apply after the first sale. This makes marketplace entry much easier not only for well-established brands but also for smaller labels. 📌 In our blog, we walk you through the complete 5-step onboarding process in detail – from registration to go live, including the key checklists. 🔗 Read more here: https://lnkd.in/drTqgzXj

Seller confidence is closely tied to the tools and systems they use to manage their business. Flipkart’s seller ecosystem continues to expand, showing a 25% increase in transacting sellers and 30% growth in business activity leading into the festive season. What supports this momentum is the consistency of tools, onboarding support, and training made available throughout the seller journey. Sellers today are planning festive cycles with access to real-time analytics, automated pricing suggestions, return trend visibility, and GST-integrated workflows. These tools help them operate with more clarity and less administrative pressure. Marketplace growth becomes more resilient when sellers are equipped to focus on performance rather than workarounds. That’s what structured infrastructure enables reliability at scale. #SellerEnablement #DigitalCommerce #GSTReform #MSMEGrowth #BigBillionDays2025

 https://lnkd.in/dHMMWADE

Your GTM strategy is only as strong as the tools behind it. Yet most teams still try to scale with duct tape and dashboards from 2018. Watch my 2026 Stack below... If you're serious about winning in 2026, you need a tech stack that does more than track — it needs to think, coach, predict, and close. 1. Conversation Intelligence • Substrata: Reads between the lines of sales conversations to surface hidden buyer intent and guide reps in real time • Gong: Captures and analyzes every interaction so teams can spot winning talk tracks, risks, and next steps • Chorus: Records and analyzes calls to highlight key moments that impact win rates and sales cycles 2. Sales Analytics • Clari: Unifies pipeline data with AI-driven forecasts so revenue teams know precisely where to focus • Substrata: Turns behavioral and conversational signals into analytics that reveal friction and deal risk early • Jiminny: Transcribes calls, scores conversations, and delivers coaching insights straight from customer meetings. 3. Sales Intelligence • LinkedIn Sales Navigator: Uses LinkedIn’s network and AI insights to help sellers find, understand, and engage the right buyers • Salesloft: Orchestrates multichannel outreach with AI-guided next best actions to keep every prospect touch on track • Apollo.io: Combines a massive B2B contact database with automated outreach to turn targeted lists into live opportunities 4. Sales Coaching • Substrata: Acts like a real-time deal coach, decoding social cues to tell reps how their approach is landing • Mindtickle: Delivers AI-driven onboarding, practice, and assessments so every rep can mirror top performers • Second Nature: Uses AI role-plays and instant feedback to let reps practice pitches until they sound customer-ready 5. Revenue Intelligence • People.ai: Converts emails, meetings, and contacts into revenue insights that show what winning reps actually do • Substrata: Turns every email, meeting, and deal interaction into rich behavioral signals that reveal true pipeline health and hidden revenue risks • Clari: Tracks every deal and activity to give leadership one predictive view of the entire revenue engine 6. eSignature • PandaDoc: Streamlines quotes and contracts into fast, branded e-sign workflows that keep deals moving. • Docusign: Provides secure, trusted e-signature so agreements get signed anywhere without slowing the sales cycle. • GetAccept: Blends digital sales rooms with e-signature to turn every proposal into an interactive closing experience. 7. SalesRoom • trumpet 🎺: Creates interactive, trackable buyer microsites so every deal has a single, personalized home base. • DealHub.io : Combines CPQ, proposals, and digital sales rooms into one workspace that accelerates complex deals. Which tool is your MVP — and which one’s just shelfware? 👇 Drop your underrated GTM gem in the comments. Let’s build the ultimate stack together.

Walmart just gave every seller a full-body scan for their listings. Not a vibe check. A funnel CT scan. They didn’t shout about it, but this week’s Seller Center update might be the most powerful one all year. Here’s why sellers are actually excited 👇 🧠 Search Funnel Ranks You now get percentile scores (0–100) for each SKU on: 🔍 Impressions 👀 Clicks 🛒 Add-to-Carts No more “low / medium / high” vibes. This tells you exactly where your listing is leaking. High impressions but terrible click rank? Your hero image or title needs work. ⚙️ AI-powered listing fixes Walmart also added generative copy suggestions that rewrite your bullets, titles, and long descriptions based on real top-performers. You can tweak or accept them with one click. 🤯 Bonus: it flags missing attributes like Fabric Type or Voltage based on what your top competitors include. 📊 All of this lives in Seller Center You’ll find it under: • Analytics → Insights → Search • Growth → Success Hub → Top items to optimise This is what modern marketplace tooling should look like. Smart. Fast. Specific. Walmart just made it easier to fix the SKUs that are dragging you down, without guessing, without spreadsheets, and without paying a consultant to tell you what’s already in the data. 💡 Smart sellers will now build SOPs around these ranks, not just reports. Let the funnel tuning begin.

I’ve spent 12 years building software for Amazon sellers—and every year at Prosper, I scout the future. Here are the emerging tools and trends you should be paying attention to. Auto Amazon Listing Optimization. This emerging category updates content automatically in a done for you service with the help of AI. AutoPilotBrand DetailPage Automato - Only one I've seen a full demo of and was very impressed. Private Label Repricers updates Flashpricer - Self-serve private label pricing with Walmart/Amazon integrations. Their UI left me inspired. The self-serve looked fun. AZsellerkit - The spotlight ASIN for a variation page is chosen by Amazon. What if you can force Amazon to change that around with PPC/Pricing? The results skyrocketed an ASIN's organic rank. Their rank tracker is custom made to focus on variations. New AI-led tools Jarvio - Still in beta. Full account management with task management for optimizing brands. DataDoe - Connect all of your seller data to a chatbot. TikTok tools: Euka - Creator outreach en masse FastMoss/Kalodata - Market Research for TikTok Shop TikTok Shop Agencies. They've arrived in full force. SmartScout - Buy Box Map. Competitor Brand Promotions. We've had five feature releases this year, more to come.