The logistics & supply-chain value chain · built for India and global trade
From freight in the dark to an intelligent, AI-native logistics business.
Rates move weekly, containers wait at ports and depots, trucks run empty on the way back, and every shipper wants
to see their order the moment something slips. The answer runs across the whole chain — from the quote to the
customs filing to the last-mile delivery and the carrier invoice. SCIKIQ
is the governed data and AI platform that helps forwarders, 3PLs, express carriers and shippers make that shift, one
value-chain domain at a time.
Forwarders & NVOCCsLCL/FCL consolidation, air and ocean forwarding, trade lanes, agent networks, CFS and customs brokerage.
Contract logistics & 3PLMulti-client warehouses for pharma, chemicals, consumer and e-commerce: SLAs, labour, space and billing.
Express, road & last mileRoad freight and fleets, express and e-commerce delivery: trips, hubs, attempts, returns and COD.
Shippers & trading housesManufacturers, importers and trading houses running their own supply chain across many providers.
The story in six chapters
How a logistics business becomes AI-native — and where each part of this site fits
The pressure
Seven forces reshaping logistics in India
Logistics businesses organised around systems — a booking tool, a TMS, a WMS, a terminal system, a customs desk —
now compete on decisions made across all of them. The ones pulling ahead treat data as a product and AI as an
operating capability, not a set of pilots. These are the pressures they are responding to.
Rates
Rates that move faster than quotes
Ocean, air and road rates swing with capacity, fuel and disruption on trade routes. A quote that was profitable on Monday can lose money by Friday, and yield by lane is seen too late to act.
With SCIKIQ: lane-level yield, rate-drift monitoring and quote-to-booking analytics.
Cost
The national push to lower logistics cost
The National Logistics Policy and PM Gati Shakti set a national agenda to make moving goods cheaper and more predictable. Customers expect their providers to pass that on, which means fewer empty kilometres, shorter dwell and less rework.
With SCIKIQ: back-haul planning, dwell-time prediction and trip-cost reconciliation.
Visibility
Shippers want to see everything, live
A shipment touches a forwarder, a carrier, a port, a CFS, a warehouse and a last-mile partner. Each has its own portal and status codes, so the customer still learns about a delay from an email.
With SCIKIQ: end-to-end tracking, delay prediction and a self-service customer portal.
Documents
Paper still moves the cargo
Shipping bills, bills of entry, invoices, packing lists, certificates and e-way bills are keyed and checked by hand. One wrong HS code or a mismatched invoice holds a container for days.
With SCIKIQ: document extraction, classification suggestions and pre-filing checks.
Customers
E-commerce sets the service bar
Shippers now judge B2B logistics by consumer standards: instant quotes, live tracking, proactive alerts and a single invoice that matches the work. Sales teams need the same view to keep the account.
With SCIKIQ: field-sales next-best-action, customer 360 and agent-drafted updates.
Regulation
Digital compliance on every movement
E-way bills, GST e-invoicing, electronic customs filing and FASTag tolling put a digital record on every consignment, and the Digital Personal Data Protection Act 2023 governs consignee and driver data. Public platforms such as ULIP make more of that data shareable.
With SCIKIQ: documents and filings joined to the shipment, with lineage and consent controls.
Technology
Dozens of systems, hundreds of reports
Global providers run booking, operations, terminal, warehouse and finance systems by region, with hundreds of operational reports and no management-level view. Every new question starts with another extract.
With SCIKIQ: one governed data lake, a standard KPI layer and agents with audit trails.
So what
Every pressure lands somewhere on the value chain.
The response isn't another point tool or a single model — it is data and AI applied domain by domain, from the quote to the customs filing to the carrier invoice, on one governed platform.
Where data and AI pay back across a logistics business
Move the freight, store and deliver it, clear and see it, and the group functions underneath — the same chain for a
forwarder, a 3PL, an express carrier or a shipper, with different emphasis. Select a domain to see the data it runs on,
the AI opportunities, and what SCIKIQ does there.
MoveStore & deliverClear & seeGroup
Domain 1 of 8
Freight forwarding, NVOCC & trade lanes
Forwarders and consolidators quote thousands of lanes a week on rates that move with every carrier announcement. Bookings, consolidation and space are planned across dozens of systems, and yield by trade lane is known only at month-end.
Data it runs on
Quotes, bookings & rate sheetsCarrier schedules & space allocationsConsolidation (LCL/FCL) plansShipment milestones & status messagesTrade-lane yield & marginAgent & partner network data
Data & AI opportunities
Quote-to-booking conversion and win/loss signals by lane and customer
Trade-lane yield and space-utilisation analytics
Consolidation planning that fills containers on the right lanes
Rate and surcharge drift monitoring across carriers
What SCIKIQ does here
Quotes, bookings, shipments and yield on one governed model, across countries
Lane, customer and agent 360s shared by sales, operations and finance
Pricing and lane managers decide; agents prepare the view and the evidence
Most of India's freight moves by road, through owned fleets and a long tail of market vehicles. Trips are planned on the phone, empty return legs eat margin, and tolls, fuel and detention are reconciled long after the truck has gone.
Containers wait at ports, container freight stations and inland depots while space, equipment and paperwork are lined up. Terminal, rail and CFS data arrive in different formats, and dwell time is explained after the fact.
Contract-logistics providers run multi-client warehouses for pharma, chemicals, consumer and e-commerce customers, each with its own SLA. Labour, space and inventory accuracy are managed site by site, and customer billing lags the work done.
Express and e-commerce delivery runs to the hour across metros and small towns. First-attempt failures, returns and cash-on-delivery remittances decide the margin, and every client wants live tracking and proof.
Data it runs on
Shipment & AWB dataHub & sortation scansRider and route dataDelivery attempts & NDR reasonsReturns (RTO) & reverse pickupsCOD and digital collections
Data & AI opportunities
Delivery-success prediction and NDR reason classification
Route and hub-capacity planning for peak days
Return-to-origin and fraud-risk signals
COD remittance reconciliation with breaks explained
What SCIKIQ does here
Shipments, scans, attempts and money on one model by pin code
Failed deliveries explained by reason and lane, not just counted
Hub and city leads act; agents prioritise the shipments at risk
Every import and export carries shipping bills, bills of entry, HS classifications, licences and e-way bills. Documents are keyed by hand, classification is checked by experience, and a single mismatch holds the cargo.
Shippers want one view of their orders across forwarders, carriers, warehouses and last-mile partners. Instead they get a portal per provider, emails for exceptions and a weekly spreadsheet that is already out of date.
Data it runs on
Customer orders & purchase ordersCarrier & forwarder milestonesWarehouse & inventory positionsDelivery & POD eventsCustomer service ticketsPublic logistics data platforms
Data & AI opportunities
End-to-end order and shipment tracking across providers
Delay and exception prediction with impact on the customer order
Customer self-service portal with natural-language questions
Carrier and partner scorecards
What SCIKIQ does here
One customer-facing view built on the provider's governed data
Exceptions reach the customer before they ask
Customer-service teams act on agent-drafted updates
Sales teams quote from spreadsheets, carrier invoices arrive weeks after the shipment, and job-level profitability is only known after accruals are reversed. Leadership sees revenue by entity, not margin by lane, customer or job.
Nine service lines that advise, build, transform and run — delivered on three pieces of SCIKIQ IP, so
logistics businesses start from working components rather than a blank page.
SCIKIQ Agent Factory · supervised digital workforce
How agentic operations work
Each agent runs the same loop — scan, reason, quantify, route. The arithmetic happens in SQL; the model judges,
prioritises and recommends; a named owner decides. Nothing happens off the record.
A carrier invoice that doesn't match the jobIllustrative
SCAN · INVOICE VS RATE & JOB
REASON · WHICH CHARGES BREAK
QUANTIFY · ₹ AT ISSUE
ROUTE · CONTROLLER DECIDES
People supervise the exceptions
The agent matches a carrier's invoice to the contracted rate, the shipment milestones and the job's accrual,
prices the surcharge that doesn't belong and drafts the dispute. The freight-audit controller approves, edits or rejects it.
Deterministic scanners run over booking, TMS, WMS, terminal, customs and finance data on the governed Data Fabric and surface signals with hard numbers.
Step 2
Policy & autonomy decide
Each agent has an autonomy level — observe, suggest or act within limits. Customs filings, carrier payments and claims always wait for a person.
Step 3
Owners approve exceptions
Every finding carries a rupee impact, a confidence, a named owner and an SLA — accept, assign, escalate or dismiss.
Step 4
Logged & evaluated
Every plan, tool call, guardrail check and decision is logged; overrides feed evaluation, and a kill switch halts all agents.
Configurable starting points for forwarders, logistics groups and trading businesses — plus cross-industry accelerators configured to
logistics data, rules and controls.
Unifies booking, operations, terminal and finance systems across countries into one cleansed data lake, with
container-freight-station, yield, live-container and sales & operational dashboards on a standard KPI layer.
Field Sales & Customer Visibility
Accelerator · AI sales app & shipper portal
An AI-powered sales app that puts lane, customer and quote history in the field team's hands, and a
customer platform where shippers see their own bookings and shipments — both fed from the same governed data.
Group Executive Intelligence
Accelerator · Group companies, capex & treasury
An executive app for a multi-company logistics group: group-company and KPI views, capex and commitments,
treasury and finance, governance and investor relations, what-if scenarios and an AI-generated weekly pulse with a
news and ratings radar.
Value calculator · Operations, documentation & finance services
What could a supervised agent squad free up?
Enter your own volumes. The estimate compares today's manual handling with agents working the cases and
people reviewing only the exceptions.
Estimated impact
–
Hours saved per month
–
FTE equivalent (150 h / month)
–
Cost saved per month
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Cost saved per year
–
Cases per month one supervisor can oversee
Estimate only, not a quote or a SCIKIQ result. Manual hours = cases × minutes ÷ 60.
Supervised hours = cases × (1 − STP share) × review minutes ÷ 60. Hours saved = manual − supervised.
FTE = hours saved ÷ 150. Cost saved = hours saved × cost per hour (× 12 for a year), shown in lakh (L) and crore (Cr).
Supervisor capacity = 150 h × 60 ÷ ((1 − STP share) × review minutes). Excludes platform and run costs.
Advise · Data & AI maturity assessment
Where are you on the maturity curve?
Our assessment scores 12 capability layers — from the secure AI gateway and data fabric to ontology,
context engineering, agents and governance — against five stages, using evidence rather than opinion.
MIT CISR found enterprises at stages 3–4 perform well above their industry average financially, while those at stages 1–2 perform below it.
Source
Start with the outcome you need
Tell us the problem — yield you only see at month-end, containers that wait without a reason, trucks that come back
empty, documents that hold the cargo, carrier invoices nobody checks, shippers who learn about delays from an email. We'll
propose an assessment or a 30-45 day pilot, delivered by SCIKIQ teams on our framework and accelerators.