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02 / AI-Powered Solutions

Smart Inventory Assistant

An inventory companion that turns raw stock and sales records into clear signals: what is moving, what is stuck, and what needs attention next.

Status:ConceptPrototype
inventory.signalsConcept UI
signal

Low stock

signal

Slow movers

signal

Trending

Sample data — illustrative only

Interface shown is a conceptual illustration. This is an internal product in progress, not a launched product.

The Problem

Many small and medium businesses track inventory in spreadsheets or basic tools. The data exists, but turning it into timely decisions — reorders, slow movers, stock risks — takes effort most teams don’t have.

The Opportunity

Combining straightforward analytics with an AI layer that explains patterns in plain language can make inventory insight accessible without a dedicated analyst.

Product Concept

Import or connect stock and sales data, then receive a living overview with highlighted signals and the ability to ask follow-up questions conversationally.

Experience

  1. 01

    Connect your data

    Start from a spreadsheet export or an existing system.

  2. 02

    Read the signals

    A dashboard surfaces low stock, slow movers and unusual movement.

  3. 03

    Ask why

    Follow-up questions explain the numbers in plain language.

Planned Features

  • Stock overview

    Current levels, movement and category breakdowns.

  • Signal detection

    Rules and heuristics that flag items needing attention.

  • Conversational insight

    Natural-language questions over inventory data.

  • Simple imports

    CSV and spreadsheet-friendly onboarding.

Architecture

  1. L1IngestionCSV / spreadsheet import with validation and mapping.
  2. L2Data modelProducts, stock movements and sales in a relational schema.
  3. L3AnalyticsAggregations and signal rules computed server-side.
  4. L4AI layerStructured queries generated and explained by an LLM.

Technology

  • Next.js
  • TypeScript
  • PostgreSQL
  • AI SDK
  • Charts
  • CSV pipelines

Current Status

Status:ConceptPrototype

Early prototype of the data model and dashboard in progress. Signal logic is being explored with sample data.

What's Next

  • Refine the signal rules
  • Build the conversational query layer
  • Test with realistic sample datasets
Next project

WhatsApp AI Order Assistant

BUILD • AUTOMATE • SCALE

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