SalesCode.ai turns WhatsApp into a complete commerce channel for CPG sales teams, distributors and retailers. Share products and schemes, take orders, send invoices, collect payments and answer questions in one continuous conversation, with no new app to install.
AI Native Whatsapp connects product discovery, ordering, promotions, invoices, payments and support inside the channel retailers already use.
Reach retailers where they already respond. Send product prompts, action cards and order links through WhatsApp, with no new app to install.
Turn the chat into a transaction. Retailers browse products, select quantities and place orders without leaving the conversation.
Keep schemes and recommendations next to the order. Share relevant promotions, focus products and commercial offers inside the same buying journ
Invoice, collect and support in one place. Send invoices, collect payments, share delivery updates and answer retailer questions without switching channels.
AI Native whatsapp keeps every order, promotion, invoice, payment and support query connected to the same retailer record, so field teams, retailers and support teams always work with the same context.
Turn field actions into retailer conversations. Send tasks, order links, reminders and remote selling actions through WhatsApp. Supervisors can follow progress without chasing representatives for updates.
Order, pay and get support without another app. Browse products, receive relevant schemes, place orders, access invoices and make payments inside a familiar WhatsApp conversation.
Resolve every query with the full order context. Support teams see the retailer, order and payment history in the same thread, helping them respond faster without moving the conversation to another channel.
Retailers can view products, receive schemes, place orders, get invoices, make payments and ask for support without downloading another app.

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The AI-native route-to-market platform for CPG & FMCG enterprises — delivering a contractually guaranteed sales uplift, backed by IEEE peer-reviewed ML.
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