DS
Deepak Suhag
Expert Industries Service

AI Solutions for Quick Commerce

AI for 10-minute delivery — dark store ops, demand prediction and rider routing

We build AI systems for quick-commerce and instant delivery platforms — hyperlocal demand prediction, dark store inventory optimisation, and real-time rider allocation.

10+Years building AI
50+Projects delivered
98%Client satisfaction
72hAvg. first response
Why work with us

What you get

Every engagement is designed around clear business outcomes — not just technical deliverables.

📍

Hyperlocal Demand Prediction

Predict demand at the dark-store level, down to the hour, for the SKUs that actually move.

🏪

Dark Store Inventory AI

Right-size inventory per dark store to hit delivery SLAs without excess working capital.

🛵

Rider Allocation & Routing

Real-time optimisation that keeps delivery times under promise without over-staffing.

🔥

Surge & Pricing Intelligence

Dynamic pricing models that balance demand spikes against rider capacity.

Why Deepak Suhag

Built Different. Delivered Different.

We are not a big-4 consulting firm with layers of juniors — we are senior practitioners who have built and shipped real systems at scale.

🏆

10+ Years of Production AI

We have shipped AI systems used by millions — not slide decks, but deployed, monitored production code.

🎯

Results-Driven, Not Hours-Driven

We measure success by your business outcomes: reduced costs, more revenue, faster operations.

🔬

Deep Technical Depth

Senior engineers across ML, backend, cloud, and data — no generalists who dabble, only specialists who ship.

🤝

Radical Transparency

We tell you when AI is not the right answer. Our goal is your success — not our revenue.

Our Approach

How we work

A battle-tested process refined across 50+ projects — fast, transparent, and built for production from day one.

01

Industry Discovery

Deep-dive into your Quick Commerce workflows, compliance constraints, and pain points.

02

Data Assessment

Audit existing data pipelines, quality, and labelling needs for AI readiness.

03

Solution Design

Design an AI architecture tailored to Quick Commerce regulations and operational requirements.

04

Pilot & Validate

Build a focused MVP, run it in a controlled environment, and measure real KPIs.

05

Scale & Monitor

Harden, deploy, and monitor the system — with ongoing optimisation and compliance reviews.

Technologies We Use

Our tech stack

We pick the best tool for the job — not the one we happen to know. Here is what powers our AI Solutions for Quick Commerce engagements.

Forecasting & Ops

📈Prophet⬆️XGBoost🧮OR-Tools📨Kafka

Realtime & Maps

🗺️Google Maps API🔴Redis📍PostGIS
What we build

Typical projects

From rapid MVPs to enterprise-grade systems — here are the kinds of projects we tackle.

Hyperlocal demand forecastingDark store inventory optimisationRider allocation & routingDynamic surge pricingDelivery SLA prediction
Our Engagement Models

Choose how we work together

No one-size-fits-all pricing. We adapt to your project type, team size, and budget.

Most Popular
📦

Fixed-Price Project

Clearly scoped deliverables, timeline, and price. Zero surprises — you know exactly what you are paying for.

  • Detailed scope document
  • Fixed-cost proposal
  • Milestone-based payments
  • 30-day post-launch support

Ideal for: Defined projects with clear requirements

Best for Growth
🔄

Monthly Retainer

Dedicated hours each month for ongoing development, optimisation, and strategic AI guidance.

  • Dedicated senior engineer hours
  • Weekly strategy calls
  • Priority support SLA
  • Monthly roadmap reviews

Ideal for: Growing SaaS and product companies

Enterprise
👥

Team Augmentation

Dedicated engineers embedded in your team — same timezone, same tools, same Slack.

  • Full-time dedicated engineers
  • Direct Slack/Teams access
  • Embedded sprint participation
  • Knowledge transfer sessions

Ideal for: Enterprises scaling their tech teams

FAQ

Common questions

Still have questions? Ask us directly →

Can this integrate with our OMS/dark store systems?

Yes — we integrate with common order management and dark-store inventory systems via API.

How granular is the demand prediction?

Down to SKU-level, per dark store, per hour — the granularity quick-commerce actually needs.

Does this help with rider costs?

Yes — better allocation typically reduces idle rider time and improves delivery SLA hit-rate simultaneously.

Ready to start?

Let's build something
extraordinary together.

Book a free 30-minute discovery call. No sales pitch — just an honest conversation about your challenge and how we can help.

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