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Premium Grocery App services

Price King Building a Three-Panel Grocery Platform With Smart Order Distribution

A startup's vision of stress-free grocery delivery β€” built into a fully coordinated iOS, Android, and Flutter platform connecting customers, delivery agents, and shippers through smart, automatic order distribution.

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Industry

E-Commerce / Grocery Delivery
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Business Type

Startup
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Project duration

3 Months
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Premium Grocery App services Premium Grocery App services

About Client

Price King was built around a frustration common to grocery delivery in India: orders piling up unevenly on some delivery agents while others sit idle, shippers scrambling to categorise and pack items correctly, and customers left guessing where their order actually stands. The client's question was whether a single platform could distribute orders fairly across delivery agents by time and distance automatically, while giving shippers structured tools to manage inventory and quality, and customers a genuinely fast shopping experience across daily essentials, fruits, and vegetables.

Their answer was a three-panel platform built on Flutter. Customers browse and order through iOS and Android, shippers manage inventory and categorise items for dispatch, and delivery agents receive orders distributed automatically and equally based on their current time and location.

About Client Gmta

Why Price King Chose Us

Price King GMTA

Grocery delivery platforms are a different kind of engineering problem than a simple product catalogue. Price King needed automatic order distribution that actually balanced fairly across delivery agents, a shipper panel with real inventory and quality control, and AI-powered suggestions and business insights working together, not as separate bolted-on features. Most generic e-commerce templates handle catalogue browsing but not multi-panel delivery logistics.

The client had looked at standard grocery app templates and found order assignment manual, shipper tooling absent entirely, and no structured way to track inventory and quality across a growing catalogue. There was no automatic distribution logic balancing delivery agents by time and distance, and no AI-powered layer surfacing real-time business insights to the admin team. These were product requirements that needed a custom build.

Price King App
Price King App
Price King App
Price King App
Price King App
Price King App

Challenges That Shaped the Build

01 06

Building a Grocery Delivery or Multi-Panel Logistics Platform?

Automatic order distribution, shipper-level inventory control, and AI-powered insights all need to work together, not as separate features bolted onto a generic catalogue app.

music App Like Price King? 6 Months Free Maintenance After Launch
music App Like Price King?

Our Approach

Automatic Order Distribution Built for Fairness

Automatic Order Distribution Built for Fairness

Rather than leaving order assignment to manual dispatch or a first-come basis, we built an automatic distribution engine that assigns each incoming order to the delivery agent best positioned by current time and distance. This meant no single agent ended up overloaded while others waited idle nearby, since the system continuously balances the workload as new orders arrive throughout the day. The distribution logic runs entirely in the background, so delivery agents simply see their assigned orders appear on their dashboard, without dispatch needing to intervene manually during normal operating hours or peak demand periods.

01
A Shipper Panel Built for Real Operational Control 02

A Shipper Panel Built for Real Operational Control

The shipper panel was built as a genuine operational tool, not a simplified extension of the admin panel. Shippers can categorise incoming items, manage inventory levels, and verify quality and quantity before an order moves to a delivery agent, all from one connected workflow. This structure meant quality issues get caught before dispatch rather than surfacing as a customer complaint after the fact, and inventory stays accurate because the shipper panel is the single source of truth for what's actually available.

AI-Powered Insights Built Into the Admin Panel 03

AI-Powered Insights Built Into the Admin Panel

Real-time business insights run directly through the admin panel, surfacing sales patterns, inventory trends, and delivery performance without the admin team needing to manually compile reports from scattered data sources. The AI-powered layer processes order and inventory data continuously, so insights reflect current activity rather than a weekly or monthly snapshot compiled after the fact, helping businesses respond faster to changing operational conditions and customer demand.

Dual Ordering Flows Sharing One Checkout

Dual Ordering Flows Sharing One Checkout

Same-day and next-day ordering run as parallel flows within the same app, sharing one checkout experience while keeping scheduling and inventory allocation logic separate underneath. A customer placing a next-day order doesn't compete for the same immediate inventory allocation as someone ordering for same-day delivery, which kept stock accuracy reliable across both order types. This mattered particularly during high-demand periods, where treating both order types as one undifferentiated queue would have created scheduling conflicts and inventory shortfalls that neither customers nor the shipper panel could resolve cleanly.

04
Streaming Pipeline Built for Stability

Process We Followed

01 Discovery and Distribution Architecture Discovery and Distribution Architecture
Discovery and Distribution Architecture

Discovery and Distribution Architecture

Before development began, we mapped how orders needed to flow between customers, shippers, and delivery agents, defined the automatic distribution logic by time and distance, and designed the admin panel around real-time business insights. Business rules for inventory allocation, delivery prioritization, and shipment tracking were finalized before any development sprint began.

  • Order distribution logic mapped by time and distance
  • Shipper workflow and inventory model defined
  • Customer app and admin panel wireframes
  • API contract and AI insights architecture design
02 Core Development β€” Apps and Panels Core Development β€” Apps and Panels
Core Development β€” Apps and Panels

Core Development β€” Apps and Panels

The customer app, shipper panel, delivery panel, and admin panel were developed concurrently, with automatic order distribution, AI-powered suggestions, and shipper tooling built in parallel to keep every panel consistent from the start. Shared APIs and synchronized data models ensured every platform reflected identical order status, inventory updates, and delivery workflows in real time.

  • Automatic order distribution engine built first
  • Shipper panel with inventory and quality control tools
  • Admin panel with AI-powered real-time business insights
  • Flutter customer app integrated against the same backend
03 QA, Load Testing, and Launch QA, Load Testing, and Launch
QA, Load Testing, and Launch

QA, Load Testing, and Launch

All order flows were tested against distribution fairness, shipper-to-delivery handoff accuracy, and dual ordering logic before submission to the App Store and Google Play. Stress testing also validated inventory synchronization, real-time stock availability, and order status consistency across every platform. Cross-platform testing confirmed accurate notifications, delivery updates, and admin reporting under peak transaction volumes.

  • Order distribution fairness testing across delivery agents
  • Shipper-to-delivery handoff and inventory accuracy testing
  • Same-day and next-day ordering conflict testing
  • Launch across iOS, Android, and all connected panels

Business Impact

Purpose-Built Panels 3

Purpose-Built Panels

Customer, shipper, and delivery agent each have a dedicated app built for their specific daily operational workflow requirements.

Platforms, One Backend 2

Platforms, One Backend

iOS and Android both run against the same real-time order distribution, inventory data, and synchronized delivery tracking infrastructure.

Order Types Supported 2

Order Types Supported

Same-day and next-day delivery run as parallel operational flows sharing one checkout, without conflicting inventory allocation.

Sazpay Sazpay

Ready to Build a Smarter Logistics Platform?

From automatic order distribution to AI-powered insights, we build grocery platforms designed around how orders actually move.

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GMTA Software developed my Tokyo MK app superbly. They understood my needs, used the latest tech, and delivered on time. Highly recommend for great app development service.

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