Storage & Logistics Management Platform
AI-native storage and logistics platforms with forecasting and optimisation
Trusted by 100+ innovative teams
What we build
We build storage and logistics management platforms, units and inventory, fulfilment, scheduling, billing, and access, and make them AI-native.
Demand forecasting, space optimisation, and route optimisation mean capacity and operations run on prediction rather than guesswork, while a self-service portal keeps customers out of your inbox.
Built for teams like yours
- Self-storage operators
- Warehousing and 3PL providers
- Fulfilment centres
- Logistics companies
- Asset-heavy operations
What you'll get
Everything you need for a successful engagement
Demand forecasting that protects capacity
AI forecasts demand by location and period, so you anticipate busy spells, avoid overbooking, and stop leaving capacity empty. You plan from a prediction instead of last month gut feel.
Space and slot optimisation
The platform allocates units, shelf space, and delivery slots intelligently, packing capacity efficiently and keeping the fast-moving items where they belong.
Route optimisation for pickups and deliveries
Pickups and deliveries are sequenced into efficient routes, cutting fuel, time, and missed windows, and adapting as the day changes.
Fewer stockouts and less dead stock
Real-time inventory plus forecasting means you reorder at the right time and stop money sitting in stock nobody is moving.
A self-service customer portal
Customers book, pay, schedule, and access their space or shipments themselves, with digital access codes and tracking, which removes a large slice of routine calls.
Operations you can actually see
Occupancy, revenue, utilisation, and throughput in one place, so you spot the underused site or the bottleneck before it costs you.
Applications
Common use cases
See how teams like yours are putting storage & logistics management platform to work.
Self-storage facility
Run units, subscriptions, access control, and billing for one or many self-storage sites, with AI optimising occupancy and pricing.
Warehousing and 3PL
Manage inventory, fulfilment, and client reporting for third-party logistics, with forecasting that keeps space and labour matched to demand.
Fulfilment centre
Handle pick, pack, ship, carrier integration, and returns, with route and slot optimisation across the operation.
Cold or specialised storage
Track specialised conditions and capacity, with the same forecasting and scheduling tuned to constrained, high-value space.
Multi-site logistics
Coordinate inventory, deliveries, and reporting across several locations from one platform.
How we deliver
From discovery to production in weeks
Discovery and scope
We map your sites, inventory, customers, and the operations that drive cost, then scope a first version that delivers quickly.
Core platform
We build unit and inventory management, fulfilment, scheduling, the customer portal, and billing on a stack that scales across sites.
The AI layer
We add demand forecasting and space and route optimisation, trained on your data, with operators in control of the decisions that matter.
Launch and improve
We go live, measure utilisation and throughput, and keep refining the models as real operations teach us where the value is.
Tech Stack
Technologies we use
We choose the right tools for your specific needs, not just what's trending. Our stack is battle-tested across hundreds of production deployments.
Forecast-led
capacity and stocking
Optimised
routes and slot allocation
One
platform for storage, fulfilment, and billing
Storage & Logistics Management Platform Implementation
Plan and launch storage & logistics management platform without delivery surprises
Use the same rollout pattern we apply in production programs: architecture review, risk controls, and measurable milestones from pilot to scale.
4-8 weeks
pilot to production timeline
95%+
delivery milestone adherence
99.3%
observed SLA stability in ops programs
Deep dive
Storage & Logistics Management Platform: What We Deliver
Storage & Logistics Management Platform is a core capability at Boolean & Beyond. We don't just implement technology — we engineer complete solutions that solve real business problems. Our team in India combines deep technical expertise with practical business understanding to deliver systems that work in production, not just in demos.
We have delivered similar solutions for startups, scale-ups, and enterprises across fintech, healthcare, e-commerce, manufacturing, and SaaS platforms — handling real-world complexity at scale.
Core Capabilities
End-to-end architecture design that balances performance, maintainability, and cost. We start with your business requirements and work backward to the technology, not the other way around. Every solution includes automated testing, CI/CD pipelines, monitoring, and documentation.
AI-first approach where applicable: we integrate LLMs, computer vision, voice AI, and recommendation engines into business workflows. But we only add AI where it delivers measurable value — not every problem needs a neural network.
Our integration patterns connect with your existing systems: REST/GraphQL APIs, database connectors, message queues, and webhook-based event architectures. We build alongside your stack, not on top of it.
Technical Architecture
Our standard stack: TypeScript + Next.js for web applications. Python + FastAPI for AI/ML services. PostgreSQL with pgvector for data + vector search. Redis for caching and real-time features. Kubernetes on AWS/GCP for deployment. Prometheus + Grafana for observability.
We choose tools based on your specific constraints — team expertise, existing infrastructure, compliance requirements, and budget. No one-size-fits-all architecture.
For AI-powered features, we implement proper guardrails from day one: input validation, output filtering, hallucination detection, cost controls, and human-in-the-loop workflows for high-stakes decisions.
Delivery Process
Discovery Sprint (Week 1-2): Requirements deep-dive, architecture design, and technical spec. You get a clear picture of what we'll build, how it works, and what it costs — before writing a line of code.
Build Sprint (Week 3-8): Iterative development with weekly demos. You see progress every week, provide feedback, and steer the direction. No big-bang reveals after months of silence.
Launch Sprint (Week 9-10): Performance optimization, security hardening, monitoring setup, and production deployment. Team training and documentation handover.
Post-Launch: We don't build and disappear. Ongoing support, optimization, and feature development as your needs evolve. Our retainer clients get priority response and dedicated engineering hours.
Proven Results
Our implementations have delivered measurable business impact: 40% reduction in manual processing time through AI automation. 35% improvement in customer engagement through personalized experiences. 60% cost savings on infrastructure through architecture optimization. 90-day time-to-market for MVPs using our SPRINT framework.
Why India Teams Choose Us
We bring senior-level engineering talent at competitive rates. Our team includes architects with 10+ years of experience building production systems, not junior developers following tutorials. We take ownership of outcomes — your success is our success.
Every engagement starts with a clear scope, timeline, and investment. No scope creep, no surprise bills, no "we need just one more sprint" conversations. If we discover complexity during development, we flag it immediately and discuss options.
Start a Conversation
Book a free 30-minute technical consultation. Bring your hardest problem — we'll give you an honest assessment of how we'd solve it, realistic timelines, and a clear next step. No sales pressure, just engineering expertise.
Industry Applications
Fintech: Automated compliance checking, fraud detection pipelines, and intelligent document processing for KYC/AML workflows. We build systems that process thousands of applications daily with 95%+ accuracy.
Healthcare: Clinical decision support, patient communication automation, and medical record analysis. HIPAA and DPDP Act compliant architectures with proper audit trails.
E-Commerce: Personalized recommendation engines, semantic product search, dynamic pricing algorithms, and conversational shopping assistants that increase conversion by 20-35%.
Manufacturing: Computer vision quality inspection, predictive maintenance models, and production scheduling optimization. Edge deployment for real-time factory floor decisions.
Client Engagement Model
Fixed-scope projects: Clear deliverables, timeline, and investment. Ideal for well-defined features or MVPs. You know exactly what you get and what it costs before we start.
Dedicated team: 2-6 engineers embedded in your workflow for ongoing development. Sprint-based delivery with weekly demos. Scale up or down based on your roadmap.
Technical advisory: Architecture review, technology selection guidance, and hands-on mentoring for your team. Ideal when you have developers but need senior technical direction.
Frequently Asked Questions
How long does a typical project take? MVPs in 6-8 weeks, production features in 8-12 weeks, enterprise platforms in 3-6 months. We use 2-week sprints with weekly demos so you see progress continuously.
What does it cost? Projects range from ₹10 lakhs for focused integrations to ₹50+ lakhs for full platform builds. We provide detailed estimates after the discovery sprint — no surprises.
Do you support post-launch? Yes. Most clients transition to a maintenance retainer (₹2-5 lakhs/month) for ongoing optimization, bug fixes, and feature additions. We don't build and disappear.
Why storage and logistics still run on guesswork
Storage and logistics are operations businesses, and most of the cost sits in decisions made by feel: how much space to keep free, when to reorder, which route a driver should take, how to price a unit this month. Spreadsheets and experience get you part of the way, but they cannot weigh every variable, every day, across every site.
An AI-native platform turns those daily guesses into predictions. It forecasts demand, optimises how space and slots are used, and sequences pickups and deliveries, so the operation runs tighter without asking your team to do more arithmetic in their heads.
What an AI-native storage and logistics platform includes
Behind the AI, this is a complete operations platform. Here is what it covers.
Space and unit management
Track every unit, shelf, or slot, with sizes, types, availability, and allocation. The platform keeps a live picture of what is free and helps you fill it well.
Inventory and stock management
Real-time inventory across locations, with SKU tracking, stock levels, and location-based picking, so you always know what is where.
Order fulfilment and shipping
Pick, pack, and ship workflows, carrier integration, shipping labels, and tracking, with returns and reverse logistics handled cleanly.
Pickup and delivery scheduling
Schedule pickups, deliveries, and move-ins or move-outs, with route optimisation that turns a list of stops into an efficient run.
Customer portal and access control
A self-service portal for booking, payment, and scheduling, with digital access codes and gate or door integration, so customers help themselves.
Billing and subscriptions
Flexible plans, recurring billing, contracts, and invoicing, built for storage subscriptions and ongoing logistics relationships.
The AI under the hood, in plain terms
The forecasting and optimisation are real machine learning, trained on your own history of demand, occupancy, and movement. On top of that, a customer assistant uses retrieval-augmented generation, or RAG, over your plans, policies, and FAQs to answer customer questions accurately. The operational pieces run as AI agents that watch demand, flag when capacity or stock needs attention, and propose the next move, while your team keeps control of the decisions.
Built to be reliable and yours
Operations cannot run on a black box. The forecasts and optimisations come with the reasoning and the numbers behind them, so your team can trust and override them. Decisions that carry cost, pricing, large reorders, route changes, can stay under human approval. And because customer and operational data is sensitive, the platform runs in your own environment with clear control over access.
It is trained on your own history of demand, occupancy, and movement, and it improves as more data comes in. It comes with the numbers behind each forecast, so your team can sanity-check rather than trust blindly.
Yes. Inventory, capacity, scheduling, and reporting can be coordinated across several locations from one platform.
Yes. A portal lets customers book, pay, schedule, and access their space or shipments, with digital access codes and tracking, which removes a large share of routine calls.
No. It forecasts and recommends, and the decisions that carry cost stay under human control. The agents flag and propose, your team approves.
Yes. It integrates with shipping carriers and with gate or door access hardware, so the digital platform controls the physical operation.
Yes. Your data stays yours, and the platform can be deployed in your own cloud environment.
A focused pilot is typically live in a few weeks, and it scales across sites from there.
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Registered Office
Boolean and Beyond
825/90, 13th Cross, 3rd Main
Mahalaxmi Layout, Bengaluru - 560086
Operational Office
590, Diwan Bahadur Rd
Near Savitha Hall, R.S. Puram
Coimbatore, Tamil Nadu 641002