Our department just welcomed a new colleague who, without hesitation, leveraged an AI agent to save the company 3.8 million yuan.
Release time:
2026-04-13
Deep Insights, an AI‑agent‑driven intelligent supply chain technology service provider, has been deeply engaged in the logistics sector for over two decades. Leveraging the DI.AI Platform as its intelligent foundation and AI Agents as its execution units, it covers four major scenarios—warehousing, transportation, freight forwarding, and shipping—empowering every link in the supply chain with autonomous closed-loop capabilities for perception, decision‑making, action, and self‑healing.
✏️Agent·Wang’s Onboarding Observation Diary
Today, a new colleague joined our department—Agent Wang.
HR called him “digital‑intelligent,” and I thought to myself: Oh, just another system.
He doesn’t need a desk, a cafeteria card, or a group‑chat message saying, “Hi everyone, I’m new—please treat me well.”
To be honest, I didn’t take it very seriously at first.
The leader suddenly asked in the group chat, “By how much did the freight rate on the Shanghai–Jiangsu route increase year over year last month?”
I expertly opened the monthly freight‑cost report, ready to sift through routes, pull data, reconcile metrics, and identify the root causes—just as I always do.
In the upper-right corner of the report, Agent Wang’s avatar flashed.
Route analysis has been generated for you:
Shanghai to Jiangsu: this month’s freight cost is 1.56 million, year-on-year… Up 4.2% Primarily affected by adjustments to fuel surcharges and a rising share of expedited orders.
The top 5 routes with the largest increases have been compiled.
I paused for two seconds.
It’s not because it calculates quickly.
Rather, it knows that at this moment, what I need most is not a report, but an answer I can immediately provide to my supervisor.
In the past, whenever a problem arose, we’d start by turning to Excel.
Now, the answer has arrived first.
Alright. This coworker’s easy to get along with.
In the afternoon, while waiting in line for a car, Agent Wang sent another message.
A fee exceeding the threshold has been detected; please verify it as a priority.
Waybill: TMS-20260331-4821 (Shanghai → Wuhan)
The current settlement price is 50.6% above the contract benchmark, with a discrepancy of ¥11,250.
This carrier has already recorded three similar anomalies this month.
I clicked it open and felt a chill run down my spine.
This expense was mixed in with a pile of routine invoices; unless you look closely, it’s virtually undetectable. If you wait until the end of the month for a consolidated reconciliation, it will almost certainly have already been paid.
I immediately flagged it and sent it to the carrier for verification.
In the past, many problems weren’t unsolvable;
It was discovered too late.
Now, Agent Wang stands like a sentinel, never blinking.
Contract prices, abnormal fluctuations, and repeated violations of standards—he scrutinizes every detail more closely than anyone else.
Month-end reconciliation has always been the most daunting task for everyone.
At this time of day, the finance, transportation, and settlement teams would huddle around the invoices and waybills, meticulously cross-checking each item—working late into the evening was the norm.
This time, Agent Wang sent over the results:
The first round of automatic reconciliation for this month’s bill has been completed.
1,034 waybills were processed, with 992 matched automatically and 42 discrepancies. The discrepancies have been categorized by surcharge, weight variance, rate version, and other factors.
It is recommended to batch-approve 32 transactions and subject 10 transactions to manual review.
From submission to receiving the results, I hardly had to wait at all.
It simply gets the automatic tasks done first,
Leave clearly defined tasks that truly require human judgment.
That’s enough.
I forwarded the report to Finance, adding, “We shouldn’t have to pull all-nighters this month.”
Three minutes later, the finance team gave me three thumbs-up.
Just before the end of the workday, Agent Wang sent another message.
The “Fast Delivery” logistics contract is about to expire.
Based on the execution data from the past 12 months and benchmarking against similar routes, the current rate falls in the higher‑end range, with an annual impact. Approximately 680,000 yuan 。
A negotiation proposal package has been generated, including the target rate range, benchmark routes for comparison, and negotiation scripts. Do you want to send it?
After I finished watching, all I want to say is:
This is no longer a reminder—it’s preparation for battle.
Back then, when negotiating contract extensions, the biggest fear was never knowing where things stood.
The carrier says the market has risen, and we’re aware of the increase as well.
But how much it has actually risen and what range it should reach often can only be judged based on experience.
Things are different now.
Agent Wang first laid out the prepared data, benchmarks, and supporting documentation on the table.
When people go back to the negotiating table, they bring a different kind of confidence.
Packing up to leave, Agent Wang sent over today’s briefing.
Today’s freight rate briefing has been generated.
Processed approximately 150 waybills, with total freight charges nearing 250,000.
Proactively identified 1 abnormal transaction, pending verification.
There are 2 reconciliation discrepancies pending confirmation.
Tomorrow, we recommend monitoring fluctuations in the surcharge for the Guangzhou–Foshan route.
See you tomorrow.
I stared at the three words “See you tomorrow” and suddenly felt a pang of emotion.
It’s not because it looks like a person.
Rather, it’s because many matters that had previously been scattered across reports, emails, systems, and chat logs were finally brought into clear order by the end of the workday.
What needs to be done today will be taken care of today.
There’s a reminder for tomorrow, even today.
This feeling is very grounding.
I replied, “See you tomorrow.”
It replied in a second 🤝
| Today’s Observation Summary
Agent Wang, first day on the job.
No small talk, but what needed to be said was left unsaid—once again.
No overtime, but every expense that needed to be monitored was scrutinized down to the last detail.
We’re not making decisions on a whim, but we’ve already prepared all the necessary data and supporting evidence.
What wears you down most in transportation management is never the big strategic decisions, but rather those endless, repetitive tasks:
Shipping costs need to be checked, exceptions require close monitoring, account reconciliation must be verified, and renewal preparations should be made.
And what Agent Wang did,
Just connect the repeated parts first,
Leave the parts that truly require human judgment to us.
What else will he bring tomorrow?
To be honest, I’m actually kind of looking forward to going to work.
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Deep Insights AI-Agent–Powered Intelligent Supply Chain Technology Service Provider
With over 20 years of deep expertise in the logistics sector, leveraging the DI.AI Platform as its intelligent foundation, and… AI Agents As an execution unit, it spans the four major domains of warehousing, transportation, freight forwarding, and shipping, endowing every link in the supply chain with autonomous closed-loop capabilities for sensing, decision-making, action, and self-healing.
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