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DashSync is a WhatsApp-based assistant designed for making offline commerce autonomous. An average offline retailer generates ?8-10+ lakhs in monthly sales. However, many still manage their business through memory, WhatsApp chats, static POS and manual notes. This creates multiple challenges: • Fast-selling products go out of stock unexpectedly. • Slow-moving items expire and cause losses. • Money gets blocked in excess inventory. • Retailers are unsure if their prices are competitive compared to online platforms. • There is no structured record of past orders or stock patterns. DashSync solves these problems without requiring any mobile app or complex software. Retailers continue to use WhatsApp to send orders by voice or text. DashSync converts these messages into structured orders, confirms them clearly, and maintains a simple order history. Over time, it studies buying patterns and identifies which items move fast, which items risk expiry, and when stock-outs are likely. The system can also: • Predict upcoming stock needs based on historical data • Suggest regional or trending brands popular in that area • Check pricing differences versus major online platforms • Recommend small pricing corrections to remain competitive • Improve cash cycle by preventing overstocking In the beginning, DashSync functions as a helpful assistant. It provides suggestions and confirmations. As retailers gain trust, the system can move into a semi-autonomous stage - where it can suggest reorder quantities automatically. In the long term, with full confidence and controls in place, DashSync can operate in an autonomous mode for routine tasks, while the retailer remains in control. The business operates on a simple monthly subscription model. Retailers pay a small fee in exchange for reduced losses, better stock management, and improved clarity in daily operations. DashSync helps offline stores avoid stock-outs, reduce expiry losses, manage cash better, and price products smartly - all through WhatsApp. It starts as an assistant and gradually evolves into a trusted, intelligent business partner and AI OS for SMEs

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Entity Type
Private Limited Company
Sectors
Artificial Intelligence & Machine Learning
Startup Stage
Prototype

Startup Teams

  • 1 Saahil Kapoor (Founder)
  • 2 Roopsi Kapoor (Director)

Incubation Details

  • Incubator Name
    SHIV NADAR AIC RESEARCH FOUNDATION
  • Incubator Host Institution
    SHIV NADAR UNIVERSITY
  • State
    Uttar Pradesh
  • City
    Gautam Buddha Nagar

Approved Incentive

Not Available

Year of Establishment2025

Location

State
Uttar Pradesh
Disctrict
Gautam Buddha Nagar
Pincode
201305