DataLift
Name what's broken

Logistics

Exceptions get an owner. Not a chat.

Operations should not wait for a weekend reconstruction.

NL / DE corridor · logistics · TMS, warehouse, finance, email exceptions · 16-week sequence

0 sec from 18 min

Status lookup per customer call

0.0 days from 9.2 days

Delivered-not-invoiced lag

0% from 12%

Exceptions with an owner

0 hrs from 38 hrs

Month-end billing overtime

After DataLift

What changed after DataLift

Less manual work. Clearer decisions. More revenue you can see, explain and act on.

2 hrs Manual work reduced

2 hrs

from 30 hrs / week

Manual work reduced

Problem
The week ran on exports, copy-paste, and whoever still knew the file.
What we changed
We joined the sources and automated the pack a person should not still be making.
Outcome
Monday work dropped from 30 hours to 2.
$1.2M Revenue connected

$1.2M

fragmented → traceable

Revenue connected

Problem
Revenue was coming in. Nobody could clearly say where all of it came from.
What we changed
Campaign, CRM, and sales joined into one line from acquisition to cash.
Outcome
$1.2M could be traced to the activity that generated it.
$240K Revenue recovered

$240K

overlooked pipeline

Revenue recovered

Problem
Leads existed, then went late, or vanished between tools.
What we changed
We surfaced the opportunities that still needed a person.
Outcome
$240K in overlooked revenue came back into the pipeline.
81% Revenue attribution

81%

from 36%

Revenue attribution

Problem
Only 36% of revenue could be tied to a known source.
What we changed
Marketing, CRM, and sales were joined on the same customer.
Outcome
Attribution coverage reached 81%. Spend had a destination.
Live Reporting speed

Live

from multi-day packs

Reporting speed

Problem
The room waited on a pack that was already old when it arrived.
What we changed
One view, fed from the systems that already held the truth.
Outcome
Leaders see the week while there is still time to act.
1 flow Disconnected systems

1 flow

from isolated tools

Disconnected systems

Problem
CRM, ads, billing, and ops each told a different story.
What we changed
We connected the stack you already pay for. Nothing new to learn.
Outcome
One connected data flow. The Friday file stopped being the system of record.

What was going on

A mid-sized logistics or fulfilment business runs a TMS or warehouse system, a CRM or booking tool, billing in finance software, and a set of spreadsheets that actually run the week. Customers ask for status. Operations reconstructs the file. Month-end is a reconciliation project.

Who feels it: COO or operations lead, finance, and the coordinator who currently holds the unofficial control tower.

The leak

What was sold, what was delivered, and what was invoiced are three stories. Exceptions are not a queue. They are a buried thread. Margin is discovered late. Leadership steers after the fact.

Why it happened

The objects that have to stay true — customer, order, shipment, exception, invoice — were never treated as a system. Each tool is locally useful. Globally they copy by hand. Automation was added to the happy path and stops at the first non-standard case, which is most of the work.

How DataLift investigates. We map those objects and decide ownership. Then we connect the events that currently travel as forwarded email: booked job, warehouse action, delay, claim, delivery, invoice. The first win is often visibility of exceptions, not lights-out processing.

What we build

  1. 01 A documented record for order, shipment, exception, and invoice, with a system allowed to win for each.
  2. 02 An exception queue with aging, so delays and missing documents are work, not chat history.
  3. 03 Delivery events that can create or update a billable record without a month-end reconstruction.
  4. 04 A leadership view of volume, exceptions, and unbilled completed work that refreshes without a hero analyst.
  5. 05 A decision on which spreadsheet steps are judgement and which are glue that should go.

How data moves

  1. 01 Booked job

    Commercial or customer request becomes a consistent operational record, not a forwarded email.

  2. 02 Warehouse and transport

    Events write to the same objects. Status is not reconstructed from memory.

  3. 03 Exception queue

    Delays, damages, and missing documents are visible, owned, and aged.

  4. 04 Invoice

    What was done is billable without a reconciling project.

Before

  • A spreadsheet control tower that only one coordinator fully understands.
  • Customer status questions that require reconstructing a file.
  • Exceptions in email and chat, with no aging.
  • Invoicing that lags delivery and invites dispute.
  • Automation that dies at the first non-standard case.

After

  • Order, shipment, exception, and invoice share identifiers.
  • Exceptions are a queue with an owner.
  • Delivery can create a billable fact.
  • Leadership can see volume and problems in the same week.
  • The unofficial control tower is documented, then reduced.

What this is worth

  • Fewer hours reconstructing status

    Customer service and operations stop acting as the integration layer.

  • Faster, less disputed invoicing

    Billable work is attached to what was actually done.

  • A view that survives holiday

    The picture is not a person.

A view you can trust

Weekly operations picture

Volume

Source: TMS / warehouse

  • Booked jobs defined
  • In progress defined
  • Completed defined

Exceptions

Source: Exception queue

  • Open defined
  • Aging over SLA defined
  • Missing documents defined

Commercial

Source: Billing

  • Delivered not invoiced defined
  • Disputed defined
  • Collected defined

Categories of visibility, not published client metrics. A real engagement starts from the systems you already run.

Related

If the leak looks familiar, write.

We will say whether a sequence like this is the first job.

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