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Industry projects · for student teams

Real freight problems. Real data. Your answer.

Each problem below comes from a question our own network faces, and each one links to data we have already published. Pick one, bring your team, and show us something we have not seen.

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Who this makes happy

The student team whose project answers a question a real business is asking, and the shipper who, one day, gets a truer delivery date or a better-placed branch because of it.

  1. Tell us about youOne short form or a WhatsApp. Two minutes.
  2. A person repliesSomeone from the team reads it and gets in touch.
  3. Confirmed in writingEvery detail agreed with you before you commit.
  • Parcel arrives
  • Driver: all good
  • Receiver waves
  • Sunrise at the warehouse
  • Shop restocked
  • Delivered

Start now: it takes two minutes

The rules of the game

How a project works

  • Public data only

    Every dataset is an aggregate published in our research library, with its limits stated. No private records change hands.

  • A question, not a template

    Each problem is open-ended. Two teams can reach different, equally good answers.

  • Show your working

    We care about method and honesty about limits as much as the headline number.

  • Feedback from practitioners

    Where agreed, people who run freight review your approach and your final output.

The menu

Problem statements

Each links to its research note and the public files: the whole chart data (JSON) and individual datasets (CSV).

  1. Problem 01 · Operations · statistics

    Seasonality and capacity planning

    Bookings fell 72% in Diwali week and part loads peaked in January. How should a network plan trucks and people around the calendar?

    • Build a weekly demand forecast with festival effects
    • Separate the monsoon effect by region
    • Recommend a staffing and truck-hiring plan by month

    Read the note data.json monthly_volume.csvweekly_festive.csvregional_monsoon.csvmonthly_trucks.csv

  2. Problem 02 · Operations research

    Routing and transit promise

    A truck covers roughly 300 km a day; a part-load parcel far less. What transit time can a carrier honestly promise between two pincodes?

    • Model transit days from distance for FTL and PTL
    • Find where consolidation adds the most days
    • Design a transit-promise table a customer could trust

    Read the note data.json by_distance.csvptl_days_distribution.csv

  3. Problem 03 · Geography · strategy

    Coverage and network design

    Where do goods flow between states, and where would a new booking point or hub earn its keep?

    • Map the corridors by value, tonnes and consignments
    • Spot imbalanced corridors where trucks return empty
    • Shortlist states for new booking points and justify them

    Read the note data.json corridors.csvstates.csv

  4. Problem 04 · Supply chain · operations

    Mode choice: full vs part load

    When does a shipper book a whole truck instead of sharing one, and how does that change with distance?

    • Locate where FTL gives way to PTL by lane length
    • Describe how parcel sizes change as lanes get longer
    • Write a one-page mode-choice guide for small businesses

    Read the note data.json by_band.csvptl_size_mix.csv

How it works

From problem to presentation

  1. Pick a problem

    Choose one below or propose your own.

  2. Tell us your team

    Institution, course, team size, faculty guide and timeline.

  3. Agree the scope

    We confirm what feedback we can give and when.

  4. Present

    Share your output with the team that would use it.

Our promise Designed with you never overstated

Problem statements are real; the programme is designed with you.

We have not fixed cohort sizes, deadlines or awards, and we will not publish any until they exist. What exists today is the problems and the public data. Everything else we agree with your team and faculty.

  • Your institution and course
  • Team size and faculty guide
  • The problem you chose
  • Your start and end dates

The network behind it

5.1 lakh
Consignments booked in a year · FY2025-26
10,000+
origin-to-destination lanes · FY2025-26
76,000+
truck hires in a year · Sep 2025 to Aug 2026
2,000+
destinations delivered to · FY2025-26

Figures from our facts page, where every number carries its source and method.

Take on a projectप्रोजेक्ट लें

One person from the team can register for everyone.

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Prefer to talk? Call +91 75062 45557 · ask us to call you · simple page in your language · email corporatesales@sslpl.in

Frequently asked questions

Is the data really public?
Yes. Every dataset linked on this page is published with its research note under /research/, with its stated limitations. It is aggregated: no customer, consignee, supplier, driver or vehicle is identified.
Can we get the raw, row-level data?
No. Raw registers contain customer and partner details we will never share. Projects work on the public aggregates; if a project truly needs more, tell us why and the desk will say honestly whether anything more can be released.
Who owns what we build?
Your work is yours unless your college rules or a written agreement say otherwise. If we want to use something you built, we will ask and credit you.
Will SSL supervise or grade the project?
Grading stays with your faculty. We can review your approach, answer questions about how freight works and give feedback on the final output, as agreed at the start.
Can we propose our own problem?
Yes. Use the form and describe it. The best projects often start from a student noticing something in the data we missed.
Is there a prize or stipend?
None is offered on this page. If a specific project carries a stipend or award, it is confirmed in writing before you start.

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