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Salescode.ai is an AI Native route-to-market platform for consumer goods sales. It runs the full chain from brand to store: AI Native SFA for field sales teams, AI Native DMS for distributors, AI Native eB2B for retailer ordering, on-device image recognition for retail execution, and AI agents that sell, coach, analyse and personalise promotions across all of them. AI generates store-level tasks and targets for every rep, automates distributor operations, and personalises every retailer's order basket, so every part of the route to market executes faster and sells more.
It operates at production scale rather than pilot scale: 3M+ active users, 1B+ monthly transactions, and 85+ top CPG brands across 25+ countries run their route to market on the platform. The result is contractually guaranteed: a minimum 3% sales uplift, backed by IEEE peer-reviewed machine learning.
An AI Native sales platform is one built AI-first at the architecture level, not a conventional sales system with AI features added on top. It rests on three foundations: a composable micro-services architecture where software is assembled from modules and plug-ins, a GenAI/LLM-ready data structure with live data streaming, distributed computing and in-memory context, and an agentic AI orchestration layer on which AI agents act autonomously. Intelligence is a core layer of the platform itself, where order prediction, stock-out prediction, billing probability, credit scoring, recommendations and the target engine run above business logic rather than in a bolt-on analytics module.
The difference shows up in two places. In the product, the system predicts, recommends and executes work in real time instead of recording it after the fact. In delivery, the same architecture produces 5X faster integrations and 10X faster augmentation, with customisations you own as plug-ins and modules. That is what separates AI Native from AI-enabled.
Traditional sales automation records what the sales team did: orders taken, visits logged, reports filed. Salescode.ai decides what should happen next and helps execute it. AI generates each rep's day plan, targets and store-level tasks, predicts each retailer's order basket before the app is opened, scores shelf execution from a photo in seconds, and covers absent reps with an AI agent that takes orders by voice and WhatsApp from thousands of stores simultaneously.
The difference is architectural rather than feature-level. Because intelligence runs as a platform layer on one live data spine shared by SFA, DMS and eB2B, a signal in one part of the chain becomes an action in another: a secondary sale updates the distributor's stock-out prediction, a weak shelf score becomes a display task, a completed task releases an incentive. A traditional system wired together from separate products cannot close those loops, which is why Salescode.ai is the only sales platform that guarantees uplift, and backs it with the Dare to Compare challenge.
Salescode.ai is built for CPG and FMCG companies selling through distributors, field sales teams and fragmented retail, from regional brands to global enterprises. 85+ top CPG brands run on the platform today, across categories including beverages, snacks, dairy, confectionery, personal care, staples, frozen foods, OTC and hardware, in general trade, modern trade and rural channels.
The fit test is the route to market rather than the company size. If your products reach consumers through distributors and stores, and your teams visit outlets, take orders, execute displays and run schemes, the platform runs that motion. Because the architecture is composable, a regional brand deploys the modules it needs and a global enterprise composes the full suite, on the same platform.
The platform spans 24 AI native solutions across the route to market. For sales teams: AI Native SFA for urban and rural markets, the Supervisor App and the Manager App. For trade partners: AI Native DMS for urban and rural distributors, AI Native eB2B for retailer ordering, and the Delivery App for last-mile execution. For retail execution: AI Native IR image recognition for modern trade, general trade and eB2B. AI agents include the AI Sales Agent, AI Sales Coach, AI Analyst and AI Promo Co-Pilot. Plug-ins cover the Promo Engine, Target Engine, Task Engine, Travel Expense, Sales Incentive and New Outlets, with connectors for UPI Payments, WhatsApp and Digital Wallet.
These are compositions of one platform rather than separate products stitched together. Every module reads the same data spine and the same intelligence core, so you start with what you need and extend without a re-implementation.
Uplift is engineered lever by lever rather than claimed in aggregate. Hyper-personalised targets and AI-generated tasks point every rep at the highest-value action in every store. Predicted order baskets and recommendations raise order values and put new SKUs into stores that comparable outlets already buy. Stock-out prediction protects availability before the shelf empties. Image recognition converts execution gaps into fixes during the same visit. The AI Sales Agent recovers the revenue that absenteeism and vacant territories normally cost. Task-based incentives pay reps instantly for the actions that matter.
Across the platform this impacts a 6% to 15% sales uplift, with a minimum 3% contractually guaranteed, alongside 35% reduction in cost-to-serve, 18% increase in distribution and 5% reduction in daily sales loss. Impact is measured lever by lever on the Sales Impact Dashboard, and the recommendation science behind it, Progressive Delta Forecasting, is published in IEEE Xplore.
Salescode.ai contractually guarantees a minimum 3% sales uplift, and is the only AI sales platform that guarantees uplift at all. Across the full platform, impact runs 6% to 15%, with hyper-personalised sales targets alone contributing 3% to 5%.
A guarantee is possible because uplift is engineered and measured at the platform layer: the target engine, recommendation and prediction models run in the intelligence core, and impact dashboards report recommendation compliance, model precision and business impact lever by lever, so uplift is attributable rather than asserted. The machine learning behind the guarantee is peer-reviewed and published in IEEE Xplore, a distinction fewer than 1% of enterprise tech startups hold and no other sales automation or CPG tech company has.
Yes. Native connectors cover SAP, AWS, Azure, Google Cloud, Paytm and WhatsApp, with hundreds more across ERP, DMS, CRM, payment and communication systems, 56+ integrations in all, so the platform syncs with everything already running in your business.
Integration is a dedicated layer of the architecture rather than a connector bolted to the edge: MDM bulk ingestion, a GenAI AutoMapper that maps incoming master data automatically, a webhook engine and ERP connectivity. That is why the AI Native Integration engine stands integrations up 5X faster than a traditional implementation. You keep the systems you have and gain one source of truth across field, distributor and retailer.
No. The agents cover what the team cannot: the AI Sales Agent takes orders from thousands of stores simultaneously, covering absent reps, vacant territories and the stores below the frequency a beat can economically serve, while the AI Sales Coach makes the human team measurably better with personalised coaching, mock calls and store-level tips on every visit.
The team keeps the work only people can do: negotiation, relationships, in-store execution and judgement. What changes is the economics of coverage. Revenue no longer stops when a rep is absent, new hires become productive faster, and every rep operates with an AI-generated plan instead of habit. The platform is designed to make each salesperson sell like the best one, which is where the guaranteed uplift comes from.
Deployment speed comes from the architecture rather than a larger services team. The AI Native Integration engine connects existing ERP, DMS and CRM systems 5X faster than a traditional implementation, the Config engine handles augmentation 10X faster, and delivery is AI-augmented end to end, from the AI Discovery Engine and Scope Generator through AI-generated wireframes and change-request impact analysis.
Adoption then happens in days rather than months, because the interfaces are built to need zero training: reps get a multi-media UI, retailers order in one click from a predicted basket, and image recognition sets up in 48 hours and trains on your SKUs in 3 clicks.
Yes, and this is verifiable rather than asserted: Salescode.ai is GDPR-ready, ISO 27001 certified and SOC 2 Type 2 compliant, with data encrypted in transit and at rest, hosted on AWS and Azure. SOC 2 Type 2 in particular is an audited attestation over a period of time rather than a point-in-time claim, which is why enterprise security teams treat it differently from a self-declared policy.
Access is enforced at the platform's API gateway with authentication, role-based access control and a full audit trail on every request, so every user sees exactly what their role and hierarchy level permit and nothing beyond it.
Dare to Compare is Salescode.ai's public challenge to the market: show us a better SFA, DMS or eB2B and win 1 million dollars. Any competing provider can take it up, with a comparison audited by a Big 4 firm using a scorecard agreed in advance; score higher on capability and Salescode.ai cuts the cheque.
The challenge exists because of the platform guarantee: 100% of the features of any competing system, rebuilt on an AI Native stack, plus AI capabilities a traditional architecture cannot add without rebuilding what it runs on. A public, auditable, million-dollar claim is the strongest form of confidence a vendor can express, and it stands open.
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