Gudang Bokeb Indo Best Repack

Report on Gudang Bokeb Indo Best Prepared : 12 April 2026 Prepared by : [Your Name / Consulting Team]

1. Executive Summary Gudang Bokeb Indo Best (GBIB) is a mid‑size third‑party logistics (3PL) and warehouse service provider operating in the Greater Jakarta Metropolitan Area (Jabodetabek) and expanding to key secondary cities (Surabaya, Bandung, Medan). Since its founding in 2018, GBIB has positioned itself as a “digital‑first” warehouse that combines flexible storage solutions, real‑time inventory visibility, and value‑added services (kitting, packaging, reverse‑logistics). Key findings | Area | Current Status | Outlook (12‑24 months) | |------|----------------|------------------------| | Revenue | US$ 12.4 M (FY 2025) – 22 % YoY growth | 15‑20 % CAGR, driven by e‑commerce boom | | Capacity | 150 k m² usable, 80 % occupancy | Target 200 k m² (new hub in Cikarang) | | Technology | WMS 2.0 (cloud‑based), API integration with major marketplaces | Full AI‑driven demand forecasting, robotics pilot | | Customer Base | 180+ clients (SMEs & D2C brands), top 5 e‑commerce platforms | 10 % increase in enterprise contracts | | Profitability | EBITDA margin 12.5 % | Goal ≥ 15 % by FY 2027 (cost automation) | Overall, GBIB is well‑positioned to capture continued growth in Indonesia’s e‑commerce logistics market, provided it executes on capacity expansion, technology upgrades, and operational efficiency.

2. Company Overview | Attribute | Details | |-----------|---------| | Legal Name | PT Gudang Bokeb Indo Best | | Founded | 2018 (Jakarta) | | Headquarters | Jl. Kawasan Industri Jababeka, Cikarang, West Java | | Core Services | • Ambient & climate‑controlled storage • Pick‑and‑pack, kitting, labeling • Reverse‑logistics & refurbishment • Last‑mile delivery coordination | | Technology Stack | • Cloud‑based WMS (Microsoft Azure) • Mobile barcode/RFID scanning • API hub for ERP/Mall platforms • Data‑analytics dashboard (Power BI) | | Ownership | Founder‑led (45 %); VC fund “EastAsia Growth Partners” (35 %); Management employee pool (20 %) | | Key Personnel | • CEO – Rudi Satria (ex‑Logistics Director, DHL) • COO – Maya Lestari (ex‑Operations Mgr, Tokopedia) • CTO – Agus Wibowo (former Azure Solutions Architect) |

3. Market Context 3.1 Indonesia E‑Commerce Logistics Landscape | Indicator | 2024 | 2025 (proj.) | Source | |-----------|------|--------------|--------| | E‑commerce GMV | US$ 150 B | US$ 176 B (≈ 17 % YoY) | e-Conomy SEA 2024 | | Online orders per annum | 2.4 bn | 2.8 bn | Statista | | 3PL market size | US$ 4.3 B | US$ 5.1 B | Ken Research | | Warehouse capacity needed | 2.5 M m² | 2.9 M m² | Indonesia Logistics Association | | Growth drivers | • Mobile‑first shopping • Rural internet penetration • Same‑day/next‑day delivery expectations | Same as above + cross‑border e‑commerce (AU, SG, JP) | — | gudang bokeb indo best

Takeaway: Capacity demand will outstrip supply by ~15 % in the next 2‑3 years, especially for flexible, tech‑enabled hubs near industrial zones.

3.2 Competitive Landscape | Competitor | Size (m²) | Main Differentiator | Approx. Market Share | |------------|-----------|---------------------|----------------------| | Jakarta Logistics Hub | 300 k m² | Heavy‑industry focus, rail‑link | 12 % | | Kargo Digital | 120 k m² | AI‑driven routing, 24/7 micro‑fulfilment | 7 % | | PT Indo Warehouse | 250 k m² | Nationwide network, own fleet | 15 % | | Gudang Bokeb Indo Best | 150 k m² | API‑first integration, SME‑friendly pricing | 5 % | | Others | — | — | 61 % fragmented (SME & regional players) | GBIB’s niche is SME‑centric, API‑first integration and a flexible pricing model that appeals to fast‑growing D2C brands.

4. Operational Performance | KPI | FY 2024 | FY 2025 | YoY Δ | Comments | |-----|--------|--------|------|----------| | Total usable area | 140 k m² | 150 k m² | +7 % | New annex added in 2024 | | Occupancy rate | 73 % | 80 % | +7 pp | Seasonal spikes (Ramadhan, Lebaran) | | Orders processed | 3.2 M | 3.9 M | +22 % | 1‑click pick‑and‑pack rollout | | Average order pick‑time | 15 s | 13 s | –13 % | Barcode+RFID synergy | | Returns processed | 185 k | 210 k | +13 % | Reverse‑logistics service adoption | | Labor cost / order | US$ 0.48 | US$ 0.44 | –8 % | Automation of label printing | | EBITDA margin | 11.8 % | 12.5 % | +0.7 pp | Margin uplift from cost control | Report on Gudang Bokeb Indo Best Prepared :

5. Financial Snapshot | Item (US$ M) | FY 2024 | FY 2025 | YoY Δ | |--------------|--------|--------|------| | Revenue | 10.2 | 12.4 | +21.6 % | | Cost of Goods Sold (COGS) | 7.2 | 9.0 | +25.0 % | | Gross Profit | 3.0 | 3.4 | +13.3 % | | SG&A | 1.1 | 1.2 | +9.1 % | | EBITDA | 1.2 | 1.55 | +29.2 % | | Net Income | 0.68 | 0.92 | +35.3 % | | Cash Balance (EoY) | 2.5 | 3.3 | +32 % | | Debt (Long‑term) | 4.0 | 4.8 | +20 % (new term loan for expansion) |

Liquidity : Current ratio 1.6 ×; no covenant breaches. Capital Structure : 45 % equity, 55 % debt after the 2025 term loan.

6. SWOT Analysis | Strengths | Weaknesses | |-----------|------------| | • Strong API ecosystem – seamless integration with Shopify, Tokopedia, Shopee, Lazada. • High operational efficiency (13 s pick time). • Flexible contract terms for SMEs (monthly, no lock‑in). • Experienced leadership with logistics & tech background. | • Limited geographic footprint (mostly West Java). • Capacity nearing saturation (80 % occupancy). • Dependence on a few large e‑commerce platform connectors for volume. | | Opportunities | Threats | | • Expansion to secondary cities (Surabaya, Bandung) where warehouse shortage is acute. • Introduction of robotic pick‑to‑light systems (ROI 18 months). • Value‑added services: cold‑chain for fresh‑food e‑commerce, B2B fulfillment. • Cross‑border fulfilment hub for ASEAN markets. | • Rising competition from global 3PLs (DHL, DB Schenker) entering the Indonesian market. • Potential regulatory changes on foreign‑owned warehouse land use. • Volatility in fuel & electricity costs affecting last‑mile coordination. | Key findings | Area | Current Status |

7. Strategic Recommendations | Strategic Pillar | Action Items | Timeline | Expected Impact | |------------------|--------------|----------|-----------------| | Capacity Expansion | 1. Secure 50 k m² land in Cikarang Industrial Estate (Phase 1). 2. Build modular mezzanine warehouse (prefab steel) to achieve 200 k m² total. | Q3 2026 – Q2 2027 | Add 30 % capacity → support 25‑30 % revenue growth. | | Technology Upgrade | 1. Pilot autonomous mobile robots (AMRs) for high‑density SKU picking (10 % of SKU mix). 2. Deploy AI demand‑forecasting module linked to marketplace sales data. 3. Implement blockchain‑based proof‑of‑delivery for high‑value items. | Q1 2027 – Q4 2027 | Reduce labor cost/order by 12 %; improve order‑accuracy to 99.8 %. | | Service Diversification | 1. Launch “Cold‑Chain Express” (temperature‑controlled zones 2‑8 °C). 2. Offer “Reverse‑Logistics as a Service” (RLA) for fashion & electronics brands. 3. Introduce “Marketplace‑Ready Packaging” (pre‑labelled, barcode‑ready). | Q2 2026 – Q3 2027 | Capture > US$ 1.5 M incremental revenue from high‑margin services. | | Geographic Reach | 1. Acquire or partner with a local warehouse in Surabaya (≈ 30 k m²). 2. Set up a “micro‑fulfilment” hub in Bandung for same‑day delivery in West Java. | Q4 2026 – Q2 2028 | Extend service radius → increase client base by 15 %. | | Financial Management | 1. Re‑structure the 2025 term loan (extend maturity, lock‑in lower interest). 2. Pursue a strategic equity raise (US$ 5 M) to fund expansion without over‑leveraging. | Q3 2026 – Q1 2027 | Maintain debt‑to‑equity ≤ 0.6; preserve EBITDA margin target ≥ 15 %. | | Talent & Culture | 1. Upskill warehouse staff on robotics & data analytics (partner with local polytechnic). 2. Implement KPI‑linked incentive program (order‑accuracy, pick‑time). | Q1 2026 – Ongoing | Reduce turnover by 20 %; sustain productivity gains. |

8. Implementation Roadmap (Gantt Overview) | Quarter | 2026 | 2027 | 2028 | |---------|------|------|------| | Q1 | • Finalise Cikarang land lease. • Begin AI‑forecasting integration. | • Install AMR pilot (Phase 1). • Launch Cold‑Chain Express pilot (10 k m²). | • Evaluate expansion to Sumatra (potential joint‑venture). | | Q2 | • Start modular mezzanine construction. • Initiate Surabaya partnership talks. | • Complete AMR pilot; scale to 30 % SKU. • Roll‑out Reverse‑Logistics service. | • Review performance; adjust capacity plan. | | Q3 | • Secure strategic equity round (US$ 5 M). • Recruit talent for new tech teams. | • Open Surabaya hub (30 k m²). • Deploy blockchain POD for high‑value items. | • Assess ROI; consider IPO readiness (if market favourable). | | Q4 | • Re‑structure loan; lock‑in lower interest. • Launch “Marketplace‑Ready Packaging”. | • Complete Cikarang expansion (additional 50 k m²). •