WanileWANILE TECHNOLOGIES
PROPOSAL · VOL. 1.0 · CONFIDENTIAL
A proposal prepared for District Bagel

District
Bagel.

An operations platform rebuild —
a unified, intelligent system for production, distribution and accounting.

Prepared for
District BagelOwnership & Operations
Prepared by
Wanile TechnologiesUnited Kingdom · Pakistan
Date issued
April 20, 2026Proposal v1.0
Engagement
6-month buildFixed-scope, milestone-based
Build it strong. Build it once.
Let it grow with you.
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District Bagel · Operations Platform Rebuild
Wanile Technologies Proposal v1.0
Contents
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Table of Contents

What's inside.

Organised in four movements — the why, the what, the how, and the who. Every decision flows from a single intent: build a platform District Bagel can grow into for the next decade.

01
Executive SummaryOur commitment in one page
PG 03
02
Understanding Your VisionProblem, future, AI, and return ratios
PG 04
03
Solution OverviewPlatform architecture at a glance
PG 05
04
Design PrinciplesSix commitments that shape every choice
PG 06
05
The Seven ModulesA purpose-built interface for every role
PG 07
06
Driver Native Mobile ApplicationAfternoon planning, morning delivery, schools
PG 11
07
AI Smart Ordering EngineSignals, surfaces and maturity
PG 13
08
Integrations & Third-Party SystemsRCC, QuickBooks, print, weather, calendar
PG 14
09
Technology StackEvery layer, every reason
PG 15
10
Project TimelineFive phases across six months
PG 16
11
Investment & Payment SchedulePricing, milestones, acceleration
PG 17
12
About Wanile TechnologiesSelected work and how we work
PG 18
13
Why Wanile Is the Right PartnerFive honest reasons
PG 19
14
Next StepsHow we move forward
PG 20
District Bagel · Operations Platform Rebuild
Wanile Technologies Proposal v1.0
01 · Executive Summary
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Section 01 · Executive Summary

Build it strong.
Build it once.


District Bagel has built something rare: a working operational backbone that has scaled the business across multiple locations and customer types. The current Laravel-based system functions, but it has aged out of the speed, intelligence, and flexibility your operation now demands.

This proposal outlines a complete rebuild of that platform, designed not as a copy of what exists today, but as a foundation for what District Bagel will become over the next five to ten years. A system architected to add new employees, new cities, new countries, and new business functions without rewriting the core.

The new platform will unify seven distinct user roles, a native mobile application for drivers, an AI-powered ordering intelligence engine, and clean integrations with your existing Recipe Cost Calculator and QuickBooks Desktop workflow. Every decision in this document has been made with one goal: build it strong, build it once, and let it grow with you.

Our Commitment

We will deliver a production-grade system that replaces your current Laravel platform end-to-end, eliminates the manual workflows slowing down your team today, and gives you the AI intelligence to make smarter ordering decisions every single day. Built by a senior team, deployed in phases, owned entirely by you.

7
Role-based modules
2
Native mobile platforms
6mo
End-to-end delivery
28
Specialists on staff
1
Unified platform
Fig. 01 · The Rebuild, in One Glance
TODAY Laravel monolith · Slow login & reports · Manual QuickBooks entry · No predictive intelligence · Single-tenant ceiling · Knowledge lives in people REBUILD TOMORROW Unified District Bagel Platform · Sub-second performance · Automated QB bridge · AI smart ordering · Multi-tenant, multi-country · Knowledge captured in system
District Bagel · Operations Platform Rebuild
Wanile Technologies Proposal v1.0
02 · Understanding Your Vision
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Section 02 · Understanding Your Vision

Before we scope,
we listen.


Before scoping any technical solution, we want to reflect back what we heard during our discussion to make sure we're building toward the right outcome.

The Problem You're Solving

Your current system works, but it's slow, dated, and lacks the intelligence layer that modern operations require. Logging in takes too long. Reports take too long to load. The QuickBooks bridge is manual, requiring your secretary to enter invoice numbers by hand. There is no system suggesting what to order based on weather, holidays, or store-specific patterns. You are essentially driving a 2010 vehicle when a 2026 vehicle exists.

The Future You're Building Toward

This isn't just a rebuild. It's the foundation for a multi-location, multi-country District Bagel operation where every employee, in every city, has a tailored interface for their role. Drivers in one country, kitchen managers in another, accounting staff working across time zones. The platform we build now must be the platform that supports that future without architectural rewrites.

Why AI Matters Here

You explained it perfectly during our call: when a snowstorm is coming, certain items sell less. When a Jewish holiday approaches, kosher locations need different production volumes. When the weather forecast shows two excellent days ahead, certain stores need more inventory. Today, this knowledge lives in the heads of your experienced drivers and kitchen managers. The new system will capture that intelligence, learn from your historical data, and make it available to every team member at every location, every day.

Your Return Ratio Is Already World-Class

During our call you mentioned a 1.56% return ratio for the month, with individual stores hitting 0.47%. These are exceptional numbers in the food distribution industry. The new system is designed to protect those numbers, surface the outliers (like the location showing 4.15%), and help you investigate why specific items underperform at specific locations. Your operational excellence becomes measurable, repeatable, and improvable.

Fig. 02 · Return-Ratio Benchmark Across Your Network
0% 1% 2% 3% 4% Best store 0.47% Monthly avg 1.56% Outlier location 4.15% Industry typical ~3.0% RETURN RATIO — LOWER IS BETTER
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03 · Solution Overview
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Section 03 · Solution Overview

One platform.
Seven interfaces.


The new District Bagel platform is composed of seven interconnected modules, a native mobile application, an AI intelligence layer, and integration bridges to your existing third-party tools. Each module is purpose-built for a specific role in your operation, while sharing a unified database, authentication system, and business logic core.

Platform Architecture at a Glance

Layer
Components
Purpose
Presentation
7 role-based dashboards + native driver app
What each user sees and interacts with
Intelligence
AI ordering engine, weather + calendar integrations
Smart recommendations, pattern learning
Business Logic
Order workflow, pricing tiers, approvals, reporting
How your operation actually runs
Data Layer
PostgreSQL with multi-tenant schema design
Single source of truth for the entire business
Integrations
Recipe Cost Calculator API, QuickBooks bridge, print services
Connect to your existing tools
Infrastructure
Cloud hosting, automated backups, monitoring
Performance, security, and reliability
Fig. 03 · System Architecture
01 · PRESENTATION 02 · INTELLIGENCE 03 · BUSINESS LOGIC 04 · DATA 05 · INFRASTRUCTURE Super Admin Admin Loc. Manager Kitchen Mgr Wholesale Production Accounting + NATIVE DRIVER APP · iOS / ANDROID AI Smart Ordering Engine signals: sales · weather · calendar · overrides · returns Order workflow(7-role state machine) Pricing & tiers(Schools · Wholesale · Stores) Approvals(Kitchen · Admin) Reporting(Sales · Waste · A/R) PostgreSQL · multi-tenant schema UNIFIED SOURCE OF TRUTH Cloud hostingAWS / DigitalOcean Automated backupspoint-in-time recovery Monitoring & alertingSentry · Datadog
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Wanile Technologies Proposal v1.0
04 · Design Principles
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Section 04 · Design Principles

Six commitments
that shape every choice.


Before a single line of code is written, we commit to these six principles. They are the filters every design, schema and feature decision must pass through during the entire build.

Principle / 01

Built for scale from day one

Every module is designed assuming you will eventually add more employees, more locations, more countries. The database schema, permission system, and API layer are all multi-tenant ready.

Principle / 02

AI as a co-pilot, not a black box

Every AI recommendation comes with an explanation and an override. Your team always has the final say. The system learns from those overrides to get smarter over time.

Principle / 03

Mobile-first where it matters

Drivers get a native mobile app with offline capability, push notifications, and camera access. Other roles get responsive web interfaces optimized for their primary device.

Principle / 04

Replace manual work, don't replicate it

Wherever your current system requires manual entry (like QuickBooks invoice numbers), the new system will automate or eliminate that step entirely.

Principle / 05

Speed is a feature

Login should take under one second. Reports should load instantly. No more waiting for the database to think. Performance is non-negotiable.

Principle / 06

Ownership over dependency

Code, documentation, architecture notes and deployment pipelines — you own all of it. No lock-in to us, to obscure tools, or to bespoke frameworks.

Fig. 04 · The Seven Roles, One System
District Bagel CORE PLATFORM 1 SUPER ADMIN 2 ADMIN 3 LOCATION MGR 4 KITCHEN MGR 5 WHOLESALE 6 PRODUCTION 7 ACCOUNTING
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05 · The Seven Modules
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Section 05 · The Seven Modules

A dashboard
for every role.


Each module below corresponds to a distinct user role in your operation. Modules share data and workflows where needed, but each interface is purpose-built for the person using it. No more forcing managers to wade through admin screens or drivers to navigate desktop interfaces.

Module01Super Admin · The Owner View

Your god-mode dashboard.

Total visibility and override capability across the entire operation.
  • High-level dashboard with summary cards for new, in-process, completed, and back orders, plus balances and date filters
  • Total override authority: change any price, delete any order, modify any user across all departments
  • Ghost Mode: log in as any other user (driver, manager, kitchen) to see exactly what they see in real time
  • Master logic configuration: holiday rules tied to the Jewish Calendar API that trigger production volume shifts company-wide
  • Recipe Cost Calculator vault: secure API configuration for ingredient cost monitoring
  • System-level approval workflow for major billing or security changes
Module02Admin · Operations & Database

The operational command center.

Where users, products, pricing tiers, and manual orders are managed.
  • Full sidebar with Dashboard, Users, Products, Orders, and Reports sections
  • User management: add, edit, delete location users with type, name, email, phone, password, status, and 4-digit PIN codes
  • Custom email broadcasts to customers about price changes or new product launches
  • Multi-level pricing for different customer categories (schools vs wholesale vs managed stores)
  • Bulk price update tool for fast catalog-wide adjustments
  • 30-day price change highlights so customers see clearly when items are repriced
  • One-time product and pricing for special orders that don't belong in the standard catalog
  • Customer favorites system so frequently ordered items are one tap away
  • Manual order entry for phone-in or email orders
  • Ghost Mode access for troubleshooting any user account
  • Full reporting access including sales, waste, and delivery accuracy
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05 · The Seven Modules
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Section 05 · continued

Location Manager
& Kitchen Manager.


Module03Location Manager · Daily Ordering

Streamlined daily ordering.

A three-tile dashboard focused on getting orders placed quickly and tracking what's been spent.
  • Three-tile dashboard: Ordering, Financials, and Tracking, with date range filters and visual charts
  • Smart Order: AI-prefilled order based on 4-week history and holiday logic. Manager just confirms
  • Manual Order: full searchable catalog for adding items beyond the smart suggestion
  • Favorites tab: dedicated view for essentials, designed so a typical reorder takes under 30 seconds
  • Cart with full product details, quantity adjustments, and clean checkout
  • Back orders view with one-click conversion into a new order
  • Re-open completed orders if corrections are needed before invoicing
  • Spend Tracker: live view of total spent this week and this month. No budgets, just transparency
  • Waste tracker: log waste by item and quantity, system calculates loss based on location-specific pricing
  • Order tracking: see whether your order is being packed or already on the truck
  • Generate and download location-specific PDF reports
Module04Kitchen Manager · Production Control

Production control.

A live order feed and weekly planner for the person managing kitchen output and school deliveries.
  • Three-tile dashboard: Open Orders, In Progress, Closed Orders with date filters
  • Add past orders feature: log orders that came in via call or message, even from past dates
  • Delivery date prompt when adding orders for any location
  • Weekly School Planner (Friday workflow): review the upcoming week's school roster, lock the week, system generates 5 daily PDFs (Monday through Friday) for paper-based packing
  • Waste tracking with the same location-specific pricing calculation
  • Global Kill Switch: mark any item as out of stock, instantly removed from every ordering screen company-wide
  • Approval queue for kitchen quantity adjustments and item additions
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05 · The Seven Modules
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Section 05 · continued

Wholesale
& Production.


Module05Wholesale Store · External Client Portal

A branded portal for external clients.

Their experience, simplified — ordering without the operational noise.
  • Branded portal with simple dashboard: orders in queue, outstanding balance, recent activity
  • Catalog browsing with search, categories, and pricing visible in their tier
  • Cart and checkout flow
  • No visibility into kitchen feeds or other customer data: total privacy
  • Account history: download signed receipts, view past invoices, generate weekly, monthly, or custom-range reports
  • Submitted orders flow directly into the Kitchen Manager's incoming feed as new jobs
Module06Kitchen Production · Live Order Feed

The shop floor interface.

Where orders are received, packed, and pushed to delivery.
  • Live scrolling order feed showing all incoming orders with source tags (Wholesale, Store, Driver-Planned)
  • Last 2–3 weeks of order history visible for status checks and repeat orders
  • One-click print slip for every order, with items grouped by category for efficient kitchen prep flow
  • Optional auto-print: new orders automatically print to a designated kitchen printer
  • Item-level status tracking: mark each item as in progress or packed
  • Kitchen can update quantities if less was sent than ordered, no approval needed for decreases
  • Quantity increases and item additions trigger an approval workflow with the location manager
  • Submit button removes the order from the feed and sends it to accounting for billing
  • Global Kill Switch shared with Kitchen Manager
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Wanile Technologies Proposal v1.0
05 · The Seven Modules
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Section 05 · continued

Accounting — and
how an order flows.


Module07Accounting · Billing & QuickBooks Sync

The billing master ledger.

Uninvoiced orders flow through to QuickBooks without manual reentry.
  • Master ledger split into Invoiced and Uninvoiced sections
  • Schools billing logic: pre-calculated based on kid count multiplied by negotiated price plus approved extras
  • Stores and wholesale billing: pulls from closed orders confirmed by drivers or on-demand drops
  • Ready-to-bill dashboard showing every delivery awaiting invoicing
  • QuickBooks Desktop bridge: automated IIF/CSV export of uninvoiced batches for direct import into QB
  • When marking an order as invoiced, prompt to capture the QB invoice number for tracking
  • Non-invoiced order count visible on dashboard so nothing slips through
  • Revenue, accounts receivable, and tax reports for weekly reconciliation
Fig. 05 · How One Order Moves Through the System
ORIGIN KITCHEN PRODUCTION DELIVERY ACCOUNTING Location or Wholesale smart order Kitchen Mgr review approval queue Pack & auto-print item-level status Driver delivers signature / GPS QuickBooks bridge auto IIF/CSV unified DB approvals logged kill-switch respected return ratio computed ready-to-bill list SINGLE ORDER ID — SINGLE SOURCE OF TRUTH — END TO END
Shared foundations

All seven modules share a single authentication layer, a single product catalog, a single audit trail, and a single permission matrix. Change a price once — and every tier, portal and module reflects it within the same heartbeat.

District Bagel · Operations Platform Rebuild
Wanile Technologies Proposal v1.0
06 · Driver Native Mobile Application
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Section 06 · Driver Native Mobile Application

Built for the truck,
not the browser.


The driver app is the most operationally critical piece of this system. It runs on phones and tablets in the field, often in spotty network conditions, and supports two completely distinct workflows: afternoon route planning and morning delivery. Because of these requirements, this is built as a true native mobile application rather than a responsive web view.

Why Native, Not Web

Why / 01

Push notifications

Drivers get notified when orders are ready, when customers request changes, or when their route is updated.

Why / 02

Camera and signature capture

Built-in signature pad and camera access for delivery proof. No browser permission prompts, no friction.

Why / 03

Offline capability

Drivers can plan orders and capture deliveries even when network drops. Data syncs when connection returns.

Why / 04

GPS integration

School deliveries with the 'left at side' option automatically tag GPS coordinates as proof of delivery.

Why / 05

Speed and reliability

Native apps load instantly and respond instantly. No browser overhead during a busy delivery shift.

Why / 06

Tablet & phone parity

One codebase, both form factors — the same driver can switch from phone to tablet without learning a new layout.

Afternoon Phase: Route Planning

The driver walks each store on their route, checks shelf inventory, and submits a pre-order plan for the next morning's production.

  • Dashboard with cards for every assigned location
  • Open existing pre-order or start a new one for any selected date
  • Product selection grid with category filters, search, and customizable page size
  • For each product: capture Return Quantity (yesterday's leftovers) and Sell Quantity (tomorrow's order)
  • AI-assisted shelf count workflow: enter on-shelf inventory, AI calculates the recommended top-off based on historical patterns, weather, and upcoming holidays
  • Driver reviews AI suggestions, overrides anything that looks wrong, and submits the final plan
  • Pre-order preview with table view of all added items, edit and delete options
  • End of route: print the consolidated pre-order list filtered by date and location for kitchen prep
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Wanile Technologies Proposal v1.0
06 · Driver Native Mobile Application
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Section 06 · continued

Delivery, schools,
and the close-out.


Morning Phase: Delivery

The driver loads the truck with what the kitchen packed, delivers to each location, and closes the loop on every order.

  • Verified Packing view: see exactly what the kitchen packed against what the driver planned
  • Quick Add: drop in unplanned items from the truck for on-demand sales
  • Customer signature capture on tablet or phone screen
  • Generate Secondary Delivery Receipt with sales summary, returns summary, return percentage, and final total
  • Print receipt copy for the location manager (with print integration)
  • Hit Done to close the order, which automatically moves it to Accounting for billing

School Module

Schools have their own delivery flow with kid counts, standard extras, and unique edge cases.

  • Today's view: kid counts, standard extras, today's menu
  • Confirm what was sent and any add-on changes
  • Request Edit button for changes the school needs (notifies Kitchen Manager for approval)
  • Skip Signature option with GPS tagging when items are left at the side door

Driver Reporting

Drivers have access to their own performance data: shipping totals, return ratios, and product-level statistics by location, product, date range, and driver. Exportable to PDF for personal tracking or sharing with management.

Fig. 06 · Driver Day Cycle
AFTERNOONMORNING plan submit → kitchen deliver close → accounting
District Bagel · Operations Platform Rebuild
Wanile Technologies Proposal v1.0
07 · AI Smart Ordering Engine
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Section 07 · AI Smart Ordering Engine

From reactive
to predictive.


This is the intelligence layer that transforms District Bagel from a reactive operation into a predictive one. The AI engine continuously learns from your historical data, weather patterns, and calendar events to make ordering recommendations that get smarter every week.

How We Build AI That Actually Works

We are not adding AI for the sake of saying we have AI. Every recommendation the system makes will be tied to real data, with a visible explanation, and an easy override. Your drivers and managers always have the final say. The system learns from those overrides, getting more accurate over time.

Fig. 07 · Signal Flow — Six Inputs, Four Surfaces
Historical sales · 4wk Weather forecasts Jewish Calendar Civic events Driver overrides Return ratios AI Engine RULES + LLM · HYBRID every output has an explanation every output has an override Smart OrderLOCATION MGR Top-offDRIVER Outlier alertsADMIN Production forecastKITCHEN MGR

Data Sources the AI Will Learn From

Historical sales data4-week rolling window per product per location, with extended trend analysis going back further as data accumulates.
Weather forecastsReal-time weather API integration. Rain, snow, heat waves, and ideal weather all affect bagel sales differently. The system learns these patterns per location.
Jewish CalendarHoliday master tied to the Jewish Calendar API. Production volumes shift before and after major holidays in ways that experienced drivers know intuitively. The system captures that knowledge.
Civic eventsLocal school holidays, public holidays, and major community events that affect demand patterns.
Driver overridesEvery time a driver overrides an AI recommendation, the system logs it and learns. This feedback loop is what makes the AI useful in your specific business.
Return ratiosIf returns spike for an item at a specific location, the AI factors that into future recommendations to reduce waste.

Where the AI Shows Up

Smart Order — Location Managers

Pre-filled order based on the manager's 4-week history plus relevant signals. They confirm in seconds.

Top-off recommendations — Drivers

After capturing on-shelf counts, the AI suggests how much to deliver tomorrow. Driver reviews and submits.

Outlier alerts — Admin

When a location's return ratio jumps unusually high (like the 4.15% you mentioned during our call), the system flags it for investigation.

Production forecasting — Kitchen Manager

Aggregated view of expected demand for the next 24-48 hours, helping plan ingredient prep and staffing.

AI Maturity Timeline

As you mentioned during our call, you understand the AI needs time to learn. Here is the realistic maturity curve we expect.

Months 1–2
Foundation

Rule-based recommendations using your historical data + holiday/weather signals.

~70–75%
Months 3–4
Learning

System has learned from real driver overrides and seasonal patterns.

~80–85%
Months 6+
Mature

Full pattern recognition across locations, products, weather, and calendar.

~90%+
Year 2+
Predictive

AI surfaces insights you didn't know to ask for: emerging trends, optimal pricing windows, expansion opportunities.

++
District Bagel · Operations Platform Rebuild
Wanile Technologies Proposal v1.0
08 · Integrations & Third-Party Systems
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Section 08 · Integrations & Third-Party Systems

What we plug into.


Recipe Cost Calculator Integration

Your existing Recipe Cost Calculator platform holds all your recipes, ingredient costs, and cost breakdowns. Rebuilding this from scratch would cost tens of thousands of dollars and provide no immediate value. Instead, we will build a clean API integration layer that pulls relevant cost data into the District Bagel platform on demand.

QuickBooks Desktop Bridge

Today, your secretary manually enters QB invoice numbers into the system after creating invoices in QuickBooks Desktop. This is exactly the kind of manual work the new platform should eliminate.

Our QB Desktop bridge automates this in two phases:

Print Service Integration

Both the kitchen auto-print and driver receipt printing require professional cloud print integration. We will use a service like PrintNode or similar, which connects any USB or network printer to the cloud and allows the platform to send print jobs from anywhere with no manual intervention.

Weather and Calendar APIs

The AI engine consumes data from established, reliable APIs:

District Bagel · Operations Platform Rebuild
Wanile Technologies Proposal v1.0
09 · Technology Stack
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Section 09 · Technology Stack

Every layer,
every reason.


The technology choices below have been made for one reason: long-term maintainability and scalability. Every layer of the stack is industry-standard, well-documented, and supported by large developer communities. This protects you from being locked into obscure tools or unable to find developers in the future.

LayerTechnologyWhy this choice
Web FrontendReact 18 · Next.js 14 · TypeScriptIndustry standard, fast, SEO-friendly, massive talent pool.
Mobile AppReact Native (iOS + Android)Single codebase for both platforms, native performance, easy maintenance.
Backend APINode.js · Express · TypeScriptJavaScript across the entire stack, fast iteration, well-supported.
DatabasePostgreSQL with Prisma ORMReliable, scalable, enterprise-grade. Multi-tenant ready for future growth.
AI LayerOpenAI API (GPT-4o / latest) + rule engineHybrid approach: deterministic rules for predictable logic, LLM for nuanced reasoning.
AuthenticationJWT + role-based access controlSecure, stateless, supports the 7-role permission system natively.
File StorageAWS S3 or DigitalOcean SpacesCost-effective, reliable, automatic backups.
PDF GenerationPuppeteer + custom templatesPixel-perfect PDFs for school planners, receipts, and reports.
HostingAWS or DigitalOcean (your choice)Auto-scaling, automated backups, 99.9% uptime SLA.
MonitoringSentry + Datadog or similarReal-time error tracking and performance monitoring.
Fig. 08 · Stack Topology
Client Next.js · React Native API Node.js · Express · TS AI Engine OpenAI API · rule engine JWT · RBAC PostgreSQL · Prisma S3 · Puppeteer PDF INFRASTRUCTURE · AWS / DIGITALOCEAN · SENTRY · DATADOG · AUTO-SCALING · 99.9% UPTIME
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10 · Project Timeline
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Section 10 · Project Timeline

Five phases,
six months.


This project is structured into five clear phases over six months. Each phase produces a working, deployable deliverable. You will see real progress every two to three weeks, not just at the end. Phased delivery also means you can begin using parts of the system before the entire build is complete, easing the transition off your current Laravel platform.

Week
1
4
8
12
16
20
24
26
Phase 01

Discovery & Design

Weeks 1 – 3
P1
Phase 02

Core Foundation

Weeks 4 – 9
P2
Phase 03

Kitchen & Wholesale

Weeks 10 – 14
P3
Phase 04

Driver Mobile App + AI

Weeks 15 – 21
P4
Phase 05

Accounting + Launch

Weeks 22 – 26
P5

Phase deliverables

PhaseDurationDeliverables
01 · Discovery & DesignWeeks 1 – 3Final requirements doc, complete UI/UX designs for all 7 modules + mobile app, database schema, API specification, project plan.
02 · Core FoundationWeeks 4 – 9Auth + role system, admin module, product catalog with multi-tier pricing, location manager module, basic order workflow.
03 · Kitchen & WholesaleWeeks 10 – 14Kitchen production module, kitchen manager module, wholesale store portal, approval workflows, reporting foundation.
04 · Driver Mobile App + AIWeeks 15 – 21Native iOS + Android driver app, AI ordering engine v1, weather + calendar integrations, school module, signature + print.
05 · Accounting + Polish + LaunchWeeks 22 – 26Accounting module, QuickBooks bridge, all reports, data migration from current system, UAT, training, production launch.

What Happens Each Week

Weekly demo calls
Every Friday, a 30-minute Zoom call to show you what was built that week, get your feedback, and align on the next sprint.
Direct channel
Dedicated Slack or WhatsApp channel. Direct line to the project lead and core team during business hours.
Staging
Staging environment. Always-on staging URL where you can test new features before they go to production.
Revisions
Two rounds of revisions per module. After each module is delivered, you have two rounds of revision included. Additional changes are scoped separately.
District Bagel · Operations Platform Rebuild
Wanile Technologies Proposal v1.0
11 · Investment
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Section 11 · Investment

Priced to be
accessible.


The investment for this complete rebuild reflects the scope, the seniority of the team assigned, and the long-term value the platform will deliver. We've structured it to balance your need for predictability with our need to deliver quality without rushing.

Total Project Investment · Standard Pace
$25,000 USD
Complete rebuild · 6-month delivery · All modules included

Senior team. Senior outcome.

Comparable platforms quoted by US or European agencies typically range from $60,000 – $120,000 for the same scope. Our rate reflects the cost advantage of operating from Pakistan combined with the seniority and quality of our team. You get senior-level work at a fraction of Western agency rates.

What's Included

Payment Schedule

Payments are tied to deliverables, not calendar dates. You only pay as the project progresses and you see real value delivered.

Milestone%Amount (USD)
Project kickoff Signed agreement20%$5,000
Phase 1 complete Designs + architecture approved15%$3,750
Phase 2 complete Admin + manager modules live20%$5,000
Phase 3 complete Kitchen + wholesale modules live15%$3,750
Phase 4 complete Driver app + AI engine live20%$5,000
Phase 5 complete Accounting + final launch10%$2,500

Optional: Faster Timeline

If you want the platform live sooner, we can compress the delivery timeline by allocating a larger team and running parallel development tracks. Same scope, same quality, faster delivery.

Recommended
Option A · Standard Pace

Steady, senior, focused.

A single project manager, one weekly demo, room to build the AI engine carefully rather than rushing the most strategic part of the platform.

Timeline
6 months
Investment
$25,000
Option B · Accelerated Pace

Larger team, parallel tracks.

Larger team running parallel workstreams, two dedicated project managers instead of one, weekly demo calls bumped to twice weekly during peak phases. Both options deliver the identical final product.

Timeline
4 months
Investment
$29,000
Our recommendation

Given that you mentioned during our call that you're not in a rush and have a working system today, we recommend the Standard Pace option. It saves you $4,000 and gives the team room to build the AI engine carefully rather than rushing the most strategic part of the platform.

Why $25,000 Is the Right Investment

We know you're comparing bids. You will see quotes in the $8,000 – $15,000 range from freelancers and small shops. We want to be direct about what a lower price usually means on a project of this shape: a seven-module platform with native mobile, AI, data migration off Laravel, and a live QuickBooks bridge is not a small project dressed up — it is a real production system. Cheap builds typically skip the design phase, staff junior developers, cut QA, write no documentation, leave integrations half-wired, and disappear at launch. The rebuild cost is paid by you, six months later, in lost orders, unexplained waste, and a kitchen team that stops trusting the system. In food operations, an "almost working" platform is more expensive than the platform itself.

Our $25,000 reflects a senior team, a real design phase, a tested QuickBooks bridge, a migrated dataset, five months of post-launch support, full documentation, and source-code ownership. It is priced to be accessible — not to be the cheapest option on your desk.

Security & Data Protection

Your platform handles customer records, school kid counts, pricing tiers, and financial data flowing to QuickBooks. Every layer is built with that responsibility in mind: TLS 1.3 in transit, AES-256 encryption at rest, role-based access control enforced at the API, audit trails on every mutation, automated daily backups with point-in-time recovery, and the option to host in a Canadian data region for local data residency. Access to production is limited to named engineers on your approved list, with revocable keys and logged sessions.

District Bagel · Operations Platform Rebuild
Wanile Technologies Proposal v1.0
12 · About Wanile Technologies
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Section 12 · About Wanile Technologies

Who builds this,
and how.


Wanile Technologies is a software development agency operating from the United Kingdom and Pakistan, with a team of 28 engineers, designers, and product specialists. We build production-grade software for clients across the US, UK, Europe, Canada, and the Middle East.

Our specialization is full-stack web development, AI/ML integration, mobile applications, and SaaS platforms. We work across verticals including fintech, legaltech, healthtech, edtech, and eCommerce.

Selected Client Work

BoardLens AIPorsche — Board Members

Built an AI-powered board intelligence platform used by Porsche board members to analyze meeting materials and competitive landscape. Delivered to enterprise standards with strict security and confidentiality requirements.

Comply.aiICBC — New York Operations

Compliance automation platform for the New York operations of ICBC, one of the world's largest banking institutions. Multi-tenant architecture, role-based permissions, document AI extraction, and audit trail.

Go Legal AILegal-Tech SaaS

Full-featured legal-tech SaaS platform with document automation, AI legal research, and client management. Built and continues to be maintained by our team.

Multi-role SaaS PlatformsFood distribution · Property · Logistics

Multiple SaaS platforms across food distribution, property management, and logistics — including marketplaces with multi-role dashboards similar to your District Bagel scope. Full case studies available on request.

How We Work

Qualified engineering team
Your project will be staffed by a skilled and qualified engineering team with the right experience to deliver the work to a high standard.
Daily updates
Regular updates on a daily basis so you always know where the project stands.
Weekly demos
Demo meetings every week so you see real progress, not just status updates.
Direct to leadership
You'll have my personal phone number and WhatsApp throughout the project, plus a dedicated project manager assigned to your account — so you always have double coverage when you need support.
Code ownership
Everything we build is yours. Complete source code, API documentation, deployment scripts, and architectural notes are handed over at project end.
District Bagel · Operations Platform Rebuild
Wanile Technologies Proposal v1.0
13 · Why Wanile Is the Right Partner
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Section 13 · Why Wanile Is the Right Partner

Five honest reasons.


You mentioned during our call that you're comparing several developers and that direction matters as much as price. Here's our honest case for why we should be the team that builds this.

We Understood Your Business

During our call, we didn't just take notes on features. We understood why the 1.56% return ratio matters to you, why the AI needs to factor weather and Jewish holidays specifically, and why your wholesale stores can't see the kitchen feed. The technical decisions in this proposal flow from understanding your operation, not just your feature list.

We Build at Enterprise Quality

The work we've done for Porsche board members and ICBC New York held to enterprise standards: security audits, role-based permissions, audit trails, and reliable performance under load. We bring that same engineering discipline to every project, regardless of size.

We Speak Your Language

Most overseas developers will quote you a low price and then disappear into vague status updates for six months. We built our agency around the opposite: weekly demos, daily updates, direct messaging access, and proactive communication. You'll always know where the project stands.

We Build for Your Future, Not Just Today

You said it yourself: this is the foundation for adding more employees, more cities, more countries, and more business functions. Every architectural choice in this proposal has been made with that future in mind. Multi-tenant database design, modular service architecture, scalable infrastructure. When you're ready to expand, the platform is ready too.

We're Here for the Long Run

After launch, we don't disappear. The 5 months of free maintenance is just the beginning. Most of our clients become long-term technology partners, with us continuing to ship new features, integrations, and improvements year after year. We'd love District Bagel to be that kind of relationship.

District Bagel · Operations Platform Rebuild
Wanile Technologies Proposal v1.0
14 · Next Steps
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Section 14 · Next Steps

How we move
forward.


If this proposal aligns with what you're looking to build, here's how we move forward.

Step 01

Review and Discuss

Take your time reviewing this document. Compare it to other proposals you receive. Note any questions or concerns. We're available anytime to jump on a call to walk through anything that needs more detail.

Step 02

Final Alignment Call

A 30-minute call to confirm scope, finalize the timeline, and answer any remaining questions. We can also discuss any specific customizations or scope adjustments you want.

Step 03

Agreement and Kickoff

We'll send a formal services agreement covering scope, deliverables, timeline, payment terms, and IP ownership. Once signed and the kickoff payment is processed, we begin Phase 1 within 48 hours.

Step 04

Phase 1 Within Three Weeks

Within 21 days of kickoff, you'll have complete UI/UX designs for every interface, finalized database architecture, full API specification, and a detailed week-by-week project plan. From there, we build.

Ready to move forward?

Pick a 30-minute slot — we'll walk through any open questions and talk kickoff.

Book the alignment call
Let's build something great together.

Looking forward to the next conversation — and to handing District Bagel the platform it deserves.

Muhammad Abdullah
Founder & CEO · Wanile Technologies
United Kingdom · Pakistan