AI for Logistics

Every empty mile and stockout eats your margin.

AI that optimises routes, forecasts demand and sees your warehouse — cutting cost and turning ETAs from guesses into promises.

  • SOC 2
  • TMS / WMS sync
  • Real‑time
  • EDI / API
Logistics AI Live
−22%transport cost
Active agents
Route Optimisationlive
Demand Forecastingrunning
Warehouse Visionlive
ETA Predictionrunning
◆ The problem

Where logistics teams lose time & money

Trucks run half‑empty, demand swings blindside planners, and customers get ETAs that miss — while manual warehouse counts drift out of sync.

Routes are planned manually and leave miles on the table

Demand forecasts miss and cause stockouts or overstock

Warehouse counts and damage checks are slow and manual

ETAs are unreliable and erode customer trust

◆ Solutions

AI solutions for Logistics

Everything we design, build and ship for logistics teams — production‑grade and accountable.

Route Optimisation

Plan and re‑route fleets in real time around traffic, windows and constraints.

Demand Forecasting

SKU‑location forecasts that cut stockouts, overstock and expedited freight.

Warehouse Vision

Automated counts, dock checks and damage detection with computer vision.

ETA Prediction

Live, accurate arrival estimates that hold up across the network.

Inventory Optimisation

Right‑size stock and safety levels to predicted demand across nodes.

Network Planning

Simulate flows, capacity and disruptions to plan the whole network.

◆ How it works

From data to outcome

A transparent, production‑ready pipeline for logistics — no black boxes.

01

Connect

Ingest orders, telematics, WMS and TMS feeds.

02

Predict

Forecast demand, transit time and disruption.

03

Optimise

Plan routes, stock and capacity continuously.

04

Track

Live ETAs and alerts flow to your systems.

◆ Old way vs Bounce AI

The difference, line by line

We don't rip out your stack — we plug in and do the work your team dreads.

Doing it manuallyWith Bounce AI
Route planningManual, static routesReal‑time optimisation
Demand forecastingSpreadsheet guessworkSKU‑location accuracy
Warehouse countsManual and driftingVision‑automated, live
ETAsUnreliable estimatesAccurate, network‑aware
InventoryOver/understockedRight‑sized to demand
◆ How we build

From audit to production

A proven delivery process for logistics — working software in weeks, not months.

01

Network & Data Audit

Map your lanes, nodes and systems to find the highest‑ROI AI.

02

Model Design & Integration

Design models for your network and wire into TMS, WMS and ERP.

03

Build, Train & Simulate

Prove savings in simulation and shadow mode before going live.

04

Deploy & Optimise

Go live with dashboards; models retrain on new operational data.

◆ Impact

Outcomes teams actually see

−22%transport cost
−31%stockouts
+18%on‑time delivery
95%ETA accuracy
◆ Client voices

Teams already shipping with us

Route optimisation took double‑digit percentage points off our transport cost in the first quarter — and drivers finish earlier.

VP of Operations3PL Provider

Forecasting cut our stockouts by a third and our ETAs finally hold. Customers stopped calling to ask where their freight is.

Head of Supply ChainDistribution Company
◆ FAQ

Questions teams ask us

Does it integrate with our TMS/WMS?

Yes — we connect to your TMS, WMS, ERP and telematics over standard APIs and EDI rather than replacing them.

How accurate is demand forecasting?

Typically SKU‑location accuracy in the high 80s to 90s, factoring seasonality, promotions and lead times.

How do you prove savings before launch?

We run simulation and shadow mode against your historical operations so you see the savings before going fully live.

Can it handle real‑time re‑routing?

Yes — routes re‑optimise live around traffic, delays and new orders, and updated ETAs flow to your systems.

What does an AI project cost in the UAE?

Cost scopes to the problem, not a headcount rate card. After a free AI audit we return a fixed, itemized quote tied to clear milestones, so you know the number before any work starts.

Do you charge by the hour, or a fixed price?

Fixed price, tied to outcomes and scope. We don't bill open-ended hours — every engagement has a defined plan and cost agreed upfront.

How long does an AI project take to go live?

Most engagements produce a working, data-validated prototype in 2–4 weeks, with full production rollout typically inside one quarter depending on scope and integration complexity.

Can we see something working before committing to a full build?

Yes — we scope a proof of concept against your real data first, so you see measurable value before signing off on the full production build.

How do you keep our data secure?

Security is built in by default: HIPAA, SOC 2 and GDPR-aware architecture, encryption in transit and at rest, role-based access control, and full audit logging on every deployment.

Do you train your models on our data?

No, not without your explicit consent. Your data is used to serve your deployment — it is never used to train models for other clients.

Can our data stay in the UAE or GCC?

Yes. We support private-cloud and on-premise deployments hosted within the UAE and wider GCC, so data-residency requirements are met without sending your data offshore.

Do you support on-premise or private-cloud deployment?

Yes — for teams with strict compliance or residency requirements, we deploy self-hosted open models or private cloud infrastructure instead of public model APIs.

◆ Let's build

Ready to put AI to work in your industry?

Tell us your challenge. We'll come back with a concrete, no-obligation plan and a live demo of what's possible for your team.

  • Free AI auditWe map the highest-ROI AI opportunities across your workflows.
  • Prototype in weeksA working proof-of-concept on your real data before you commit.
  • One accountable teamStrategy, models, data and deployment — end to end.

120+ teams shipped across 6 industries

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