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Delivering fresh food right to your dining table
Farmers End Customers
• Lack of information on market demand
• Forced to sell in low price
● Confusing Distribution System
• Lack of information on market supply
• Forced to buy in high/marked up price
• Mostly get a lot of low quality products
• Unreliable supply of fresh goods
The Problem
The Solution
A Smart Distribution System for Farming Products
Farmer
BakulRider
BakulTruck BakulKios
Customer
BakulApp BakulApp
The Solution
Advanced Route Optimization System using Reinforcement Learning to determine the least
expensive supply chain path.
Utilizing geolocation data, transportation cost, season, and market price data
Hiding most of the complexity to provide ease of use to both end customers and farmers
Value Proposition
Cheaper Faster Better
price delivery products
Business Model
Adaptive
Margin
Pricing
Product Price (PP) = Post-Harvest Price + Margin Price
= f(C, SCN, S, D)
REINFORCEMENT
LEARNING
C = Production Capacity
SCN = Supply Chain Nodes Constant
S = Length
D = Market Demand
Market Size
88
Trillion
IDR
130
Trillion
IDR
2021 2025
8%
CAGR
source: Statistics Indonesia
Total
Available
Market
The Team
Dwi Viani Ulfah Istajib Sulton Hakim Ahmad Badawi K
CEO COO CTO
Food and Health Researcher,
Sociopreneur, Woman Leader
of Local Socioeconomic
Improvement Initiative
Experienced Community
Development Leader, Organic
Food Farming Practitioner
Experienced Software
Engineer and AI Researcher ,
Ex-CTO PT Terraversity Edukasi
Utama
MVP #1
bakulbakul.herokuapp.com

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Bakulbakul pitchdeck

  • 1. Delivering fresh food right to your dining table
  • 2. Farmers End Customers • Lack of information on market demand • Forced to sell in low price ● Confusing Distribution System • Lack of information on market supply • Forced to buy in high/marked up price • Mostly get a lot of low quality products • Unreliable supply of fresh goods The Problem
  • 3. The Solution A Smart Distribution System for Farming Products Farmer BakulRider BakulTruck BakulKios Customer BakulApp BakulApp
  • 4. The Solution Advanced Route Optimization System using Reinforcement Learning to determine the least expensive supply chain path. Utilizing geolocation data, transportation cost, season, and market price data Hiding most of the complexity to provide ease of use to both end customers and farmers
  • 5. Value Proposition Cheaper Faster Better price delivery products
  • 6. Business Model Adaptive Margin Pricing Product Price (PP) = Post-Harvest Price + Margin Price = f(C, SCN, S, D) REINFORCEMENT LEARNING C = Production Capacity SCN = Supply Chain Nodes Constant S = Length D = Market Demand
  • 8. The Team Dwi Viani Ulfah Istajib Sulton Hakim Ahmad Badawi K CEO COO CTO Food and Health Researcher, Sociopreneur, Woman Leader of Local Socioeconomic Improvement Initiative Experienced Community Development Leader, Organic Food Farming Practitioner Experienced Software Engineer and AI Researcher , Ex-CTO PT Terraversity Edukasi Utama