World's Largest AI-Native eB2B
Retailer App
AI-powered eB2B that delivers a guaranteed minimum of 3% sales uplift through higher product distribution, increased order values, and recovery of lost sales opportunities.
Built for the World's Largest CPG Sales Organisations
Proprietary ML Engine: 550M+ Records Processed Daily
SalesCode eB2B processes 550M+ daily data records and generates 22M+ AI/ML tasks and personalised recommendations every day. The ML model learns from every order, every store, and every interaction to identify uplift opportunity in each transaction, across hyper-personalised interfaces, baskets, search, and ordering.
Book a DemoHow AI Native eB2B Personalises Every Retailer Order
Intelligent Interface
Retailers order through whichever channel suits them: voice, text, WhatsApp, PWA, or native mobile app. The hyper-personalised landing page, catalogue, and search adapt to each store's purchase history.
[30%+ Higher Adoption and Engagement]
Hyperpersonalized Product Baskets
Every retailer opens a ready-to-order basket shaped by their store's purchase patterns, size and category mix. ML models surface products the store has never ordered but comparable stores buy regularly. 15% to 28% new SKUs per order
[Increase Focus Product Distribution by 5%-18%]
ML-Based Order Prediction
Our model reads every past order from the store and from stores like it, then predicts the next order before the retailer opens the app. Each line carries the distribution and revenue opportunity it represents, so a rep or a retailer can see what a missed SKU is worth.
[Increase Avg. Order Value by 8% to 12%]
Intelligent Engagement
Push personalised promotions, flash offers and reorder nudges to thousands of stores at once, triggered by store behaviour rather than a calendar. Promo to order now completes in under an hour instead of weeks.
[30%-50% higher Engagement and 3%-5% higher Transactions]Plug Into Your SFA, DMS, and 56+ Third-Party APIs
Connect SalesCode eB2B to your SFA, DMS, and 56+ third-party APIs across loyalty, wallet, payment, lending, IR, and engagement. The composable architecture means new integrations go live without rebuilding your stack.
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Measured Impact on Basket, Distribution, and Engagement Metrics
Among retailers placing 70%+ of orders through the app, 90%+ show measurable uplift across order value, product distribution, and engagement.
Basket Impact
ML powered product recommendations drive retailers to discover and buy more with every visit.
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Distribution Impact
New launches reach first 10% depth in days, not months.
Engagement Impact
Push a campaign to thousands of stores and see orders in under an hour.
Highest Rated eB2B App: 4.5 Stars, 126K+ Retailer Reviews
SalesCode eB2B apps hold the highest retailer ratings of any eB2B platform globally, with 126K+ reviews across 85+ deployments in 25+ countries. Competing platforms average 3.9 to 4.0 stars.
Questions about SalesCode AI Native eB2B
SalesCode eB2B is an AI-native ordering platform for CPG and FMCG brands. Retailers order through WhatsApp, PWA, or native mobile app, with every interaction powered by hyper-personalised ML recommendations. The platform processes 550M+ data records daily to generate store-specific baskets, product suggestions, and promotional offers.
measured outcomes include 14% to 45% higher average order values, 5% to 18% wider focus product distribution, and new product launches reaching 10% store depth in under one week versus 8 to 10 weeks traditionally
SalesCode eB2B uses a composable architecture with 22 plug-in modules and 56 APIs. It integrates directly with SFA, DMS, and third-party systems for loyalty, payments, lending, and wallet services without requiring changes to your existing stack.
AI-Native Sales Execution, With a Guaranteed Uplift
3% minimum uplift, contractually guaranteed — with a 110% refund clause if unmet.
The AI-native route-to-market platform for CPG & FMCG enterprises — delivering a contractually guaranteed sales uplift, backed by IEEE peer-reviewed ML.
1800 212 8898
Mon–Fri · 10:00–19:00 IST
business@salescode.ai
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