#97 - Preparing E‑Commerce Finances For Q4 And Beyond

Q4 doesn’t just stress your warehouse—it stress‑tests your finance. We sat down with Sourabh Nolkha to unpack why the busiest season creates both record sales and record leakage, and how to build the finance stack that keeps more of what you earn. From pre‑season prep to real‑time dashboards, we map the exact systems that let you track inventory, reconcile revenue across channels, and stop variable costs from swallowing your margins.

We start where most teams stumble: revenue visibility. Multi‑channel selling blurs the line between orders and actual cash, especially when commissions, shipping fees, returns, and settlement timing differ by channel. Sourabh breaks down the biggest blind spots—40–60% variable costs and an avoidable 3–5% revenue leakage—and explains how automated reconciliation and exception tracking recover money that would otherwise vanish. As companies scale, finance is often the first team to strain. We share practical signals your close is slipping, why “revenue minus cost ≠ cash” is a red flag, and how to fix it with better data flows and targeted automation.

Then we get tactical with AI. Clean, contextual data is the prerequisite; once that’s in place, AI can spot anomalies, trigger alerts on return spikes, and answer high‑value questions like last‑seven‑day profitability by category. Saurabh opens the hood on Zen Statement’s AI stack: intelligent data capture when APIs are missing, self‑serve reconciliation to link new sources, conversational analytics for decision speed, and the next frontier—a dispute management agent that turns detection into recovery. Finally, we reframe forecasting. Demand prediction is only half the story; true cash forecasting bakes in cost structures and payout schedules by channel so you can plan inventory, marketing, and working capital with confidence.

If you want Q4 to fund your growth rather than drain your bank account, this conversation gives you the blueprint: unify your data, model your costs, monitor in real time, and let AI guard your margins. Enjoyed the episode? Follow, share with a fellow operator, and leave a quick review to help others find the show.

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Transcript

Setting The Q4 Agenda

SPEAKER_01 0:09

I'm always curious, obviously, about the big events happening and how the best way to budget and plan for that. So what are we looking at for quarter four? What are we seeing for quarter four? And and how should sellers be preparing on a financial end to measure success, but also plan for the beginning of next year? What are you doing with your partners to really get them ready for this busy time of year?

Q4 Surge And Operational Risks

SPEAKER_00 0:37

Yeah, I think again, both the uh ways to two ways to think about this, right? Like one, of course, a QA four is the you know the busiest time of the year. Uh, what that means is that there is a uh sudden spurt in the growth in terms of revenue scale, etc. Uh, along with that, of course, uh comes all the challenges as well that you know you also as an e-com seller are always also worried about the returns, right? So a lot of you know, basically uh movement, right? And more the movement, as we know in any kind of a manufacturing uh or you know, mechanical sense, right? More the movement, more the friction, and more the uh you know, chances of things breaking, etc. Right. So uh this is a time where actually, if you think about it, the preparation around handling the complex finance operation should already have happened, right? So that you're ready when this kind of a spurt goes in so that you are able to track your inventories better, you're able to make sure that you know there are no inventory losses in the process as you are processing the orders, as you're processing the returns and all. And also, you know, there is a you know big good chance that uh, you know, when you're uh delivering these orders, uh the inventory uh, you know, the orders are actually not getting delivered because there is so much of a you know uh activity that is happening at your at the last mile logistics partner's end as well, right? So these are the kind of things that you need to prep well before so that your finance operations scale. Um, and I think the second thing is that, you know, as you uh as this is like a fast time,

Real‑Time Finance And Year‑End Review

SPEAKER_00 2:10

right? Like a busy time, you also want to have a mechanism in place to be able to, you know, look at your financial numbers uh, you know, on more on a real-time basis. So having a good analytic system in place is also very crucial, right? So that uh, you know, it's not that uh uh you know you start to lose money and you realize it a little too late, right? Um so having those systems in place is always helpful when you're getting into Q4 before you get into Q4. And as the year draw close by, I think it's also a reflection time of the things that uh you know uh happened or you know uh uh things that you need to kind of take care in the next year. So all of the planning, etc., that happens uh for the next year is the base uh you know becomes this year. So you know, if you have like already a good amount of inputs in place, right? Like, you know, uh the reflection of the last year, uh, how did you perform, which category of the products did well, which categories you want to kind of you know double click on investing. Um, so that kind of uh granular information available to you would also be a good input for your uh you know next year's planning and where do you really invest your money? So those are two crucial things I would uh kind of you know call out uh for the Q4.

Cash Flow Blind Spots Exposed

SPEAKER_01 3:25

And you mentioned in there some problems and some um maybe some areas of improvement for a lot of sellers. In your in your experience, what are some of maybe the biggest um put this? What is some of the maybe the biggest blind spots that sellers face in understanding their true cash flow and uh how they can better proactively manage it? Again, with relation to the busier times of the year, but also in general, just even in the off times throughout the whole year, where are there ways for them to maybe tighten that up and and get a better understanding of where their money is coming and going?

SPEAKER_00 4:04

Yeah. So I think again, you know, if you really break down the cash flow, it's actually uh, you know, technically uh uh a balancing figure, right? Uh which is nothing but you know your revenue minus your costs, right? That's the money that you finally get. So uh when you try and uh, you know, kind of bring a visibility around your cash flow, you have to first think about whether I have understood my revenue well. So more complexity brings in more challenges. You operate through multiple sales channels, hard to figure out what really is my revenue across, right? Uh you work through the D2C again, you know, you are not always sure that uh which orders actually been processed, not processed, because Shopify will have a lot more data than what you know actual revenue, right? So being able to kind of get a complete visibility into one single place around that is crucial to be able to even get to the cash flow part of the question,

Variable Costs And Revenue Leakage

SPEAKER_00 5:00

right? The second thing is that you know, in the e-commerce businesses, right, uh what you sell is never the money that you get, right? There's so many adjustments that happens, and those variable costs are like very high, right? Talk about the marketplace commission, talk about the you know, logistics kind of things if you're doing D2C, etc. etc. Right. Um, so uh, you know, people don't really realize, right? But uh these cost components are like uh, you know, uh like so many different kinds of uh cost components get added uh into this, and you don't even realize like how those costs are calculated if you've been overcharged uh for any of these, right? And just to give you like an anecdotal number, uh there is you know anywhere between 40 to 60 percent of the uh you know uh revenue actually goes into these costs, part one, right? And there is a three to five percent of the revenue uh leakage that happens in this process. And I'm talking about you know some of the best marketplaces around the world, right? Um even with them, it happens. Uh or even with uh, you know, uh your logistics partners, etc., right? Right. Uh there are overcharges and all that, right? So uh, you know, you close your eyes, you literally, you know, you've done all the hard work in getting your revenue in place, but then you never got the money, right? And that is a straight to the bottom line and to the cash flow, et cetera, right? Um, so you need to have a very, very close eye on you know what your cost components there are, whether you've been overcharged or not, right? And being able to have a very solid uh mechanism or process in place to be able to uh you know claim those leakages, whether it is around the uh, you know, uh inventory leakages, whether it is about the cost overcharges, etc. Right, you need to have a uh you know process in place to be able to recover them. Otherwise, it will hit your like you will think that you've done a good job, right, in terms of selling, but then these cost leakages will actually eat into your margin, right? Um, so those are two uh you know uh kind of you know breakdowns you need to be able to ensure first before you even you know uh look at the cash flow, right? And uh yeah.

SPEAKER_01 7:16

And and kind of on that, um, you know, as sellers start to grow, obviously this percentage of what's leaking becomes

Scaling Pains In Finance Teams

SPEAKER_01 7:26

more and more. And as it starts to scale, uh the financial complexity part um may also grow faster than their revenue. Depends on, you know, of course, many different factors of where maybe they're sourcing from and all that kind of good stuff. But from your work with um these companies that are scaling pretty fast that are growing across multiple channels, what you mentioned a couple of different things like the logistics, but what tends to break first? You know, where did where do you see a lot of breakdown in the process in the beginning when they start to scale? And is there a way to fix that or almost like I said, proactively prevent this stuff before it even happens, really?

SPEAKER_00 8:06

Yeah, I think the uh, you know, first amount of strain you'll be able to see in the finance team, right? Like uh, you know, uh as you kind of grow and as the complexity grows, right? Uh you will start to see that, you know, finance team is overworking and still not able to kind of cater uh to what the business needs because these businesses move really fast, right? Like uh uh literally every second there is a financial transaction happening in some sense, right? So uh uh you will start to see that they are falling behind, right? Your month end closing is probably taking 15-20 days. Uh, your revenue estimates are off by a percentage point, right? And you know, your uh technically revenue minus cost is actually not equaling to the cash flow, right? Because you know, your costs are underestimated or revenues are overestimated, right? One of it. So you will start to see, and of course, you know, uh internally as well, there is like uh finance is a uh back office function understood as, right? So uh there's not enough of investment that goes into uh the finance team. So there is the first train you will see, right? And until and unless kind of you know you've thought through about that and you enable the finance team with the right kind of automation solution and all that. Uh, one, you will uh have a struggle on the finance and people will end up wasting a lot of time. Second, as a business, you will also not be able to get right kind of inputs at the right time to be able to uh be proactive in your uh you know uh business decisioning, right? Um and that would mean that you know you could you could have leakages which you have not even seen, or you know, revenue opportunities that you have missed, and uh, you know, it's a little too late uh for you to also react, right? Right.

SPEAKER_01 9:55

It's yeah, is what what point would it be too late? What point would I mean obviously the business goes under, but when can you are there signs of it's getting close to being too late? Is that kind of what you were is that alluding to what you were just mentioning? Like how do you know it's what what's the big telltale sign of you're doomed? If there is one, that's probably a not an easy answer there, but yeah.

Acting Fast: Windows And SLAs

SPEAKER_00 10:20

Um I think uh see here the thing is that every transaction, right, is an event, right? Which is something that you cannot go back to. Right. So, you know, a month goes by, you've lost the opportunity for that month, right? Uh and uh if you are not proactive, the trend will continue, right? Every day you lose, right? So there is no like a one point in time where you say, Okay, this is a point of no return, right? But uh, you know, every transaction is an opportunity for you to make or break things. Uh faster you are able to kind of realize it and set things in process, at least proactively going forward, you can take care of the things. Um, but uh, you know, uh going back in the past, I don't think you can do much about it because here everything works on an SLA, right? You have a limited window to take any action, whether it is a pricing correction, whether it is, you know, preventing the leakages or making the claims, there's a very limited window that you have. So historically, you cannot change much. Uh, and every transaction, every minute that you uh, you know, let's say ignore this, you lose money, right? Right. Um, but once you realize it, probably uh, you know, uh with a proactive investment of about you know anywhere between let's say four to six weeks, you can actually fix these processes and systems, uh right, and then you know, not have any subsequent damages per se. Right.

SPEAKER_01 11:54

That's a pretty good, yeah. That's a pretty good timeline. I was expecting it was you only have a certain, a very small window to catch this. And then if you don't I mean it depends on the size, right? Like if your if your product is toxic, this this last batch was toxic or something like that. Maybe that's not specific to finance, but I would imagine this the size of the problem depends on on the window of opportunity there.

SPEAKER_00 12:16

But uh yeah, that's another thing that you know e-commerce per se, every transaction is such opportunity, right? Right. Uh so yeah.

SPEAKER_01 12:27

Yeah. So talk to me a little

AI’s Role: From Data To Decisions

SPEAKER_01 12:29

bit. The big question on everyone's mind is is always about AI. So um I do want to get into AI and how how you guys use it at Zen Statement. Uh, but first on a general note, how do you think AI is gonna be uh changing the future of of finance? Um, I've got a lot of buddies in in finance for different companies and they're worried about AI taking their job, but but what more more so, what can AI do to help even them make better financial decisions in their e-commerce business?

SPEAKER_00 13:01

Yeah, so I think you know, uh one of the critical aspects, and I'm keeping finance in focus there, right, is that uh, you know, for the AI to work, like what what does it really need, right, to be able to kind of put into action, right? It needs data, right? Um, and uh it needs cleansed data, right? And it needs like a uh you know financial context, right? That how do I understand this data? And there's a massive amount of it for e-commerce, right? Uh literally, you're crossing hundreds and thousands of orders, you're talking about probably you know millions of data points getting generated from a finance perspective on an every month basis, right? And uh, you know, um so I think even before we get to the AI, the first job should be that, you know, how do we make sure that data is coming into one place for it to be able to get that context? And there, when I say data, it's not just the internal data, right? It's also a lot of external data as well, right? Um, so being able to get that data in one place, being able to put them together and clean it, right? Like, okay, you know, for example, very basic, right? Like a Shopify order, right? Uh, order status which is fulfilled versus not fulfilled has a big implication. Order status, which is a prepaid and cancelled, has a big implication not on revenue, but actually on cash flow, because you need to refund that order, right? Right. This is the context of that transaction, which also needs to be built in or fed in into the AI. Or, you know, for example, if a transaction happens a certain way, like you know, if I'm selling this category of the product, right, this is the commission that I end up paying to uh, you know, Amazon. Or uh, you know, this is the kind of uh uh you know weight of the product or dimensions of the product, and I if it is getting picked up from a warehouse and getting delivered to you know a pin zip code B, right, this is what I end up paying to the logistics partner, right? Knowing these revenue and cost component with the financial context, right, are the key things even before AI comes into picture, right? Once you have established this hygiene, that is when the AI comes into picture. And what can AI do for you, for example, right, is being able to understand that, you know, uh what are the anomalies in this process, right? Like, are there any cases where, for example, you know, can you set up an alert for me if uh any of these returns for my newly launched products uh goes beyond a certain number? Right? Okay. That's a kind of a quick alert you can set up so that your AI agent can keep, you know, an eye out for you for those things, right? Or can you tell me, like, you know, what is my profitability on this particular category of product for the last seven days, right? So being able to quickly ask these questions for the category managers and for the finance team can help you to take these decisions faster, right? That's a great use of the AI there, but it does not happen until you have crossed the first two, you know, uh you know, benchmarks, right? Right. Uh so that's an important piece, right? Like before you start to leverage AI for different things, make sure that you have uh a data and the context already uh there in the system.

SPEAKER_01 16:19

Right. And and specifically, how are you guys at Zen Statement using AI? Is it to that effect? Is it something else? Um, could you share more about how you use it for either back end stuff or even client-facing things? What's happening there? That's that that you know, you're using it to that effect.

SPEAKER_00 16:38

Yeah, in fact, you know, again, you know, think of it from a finance stack perspective, the way uh these things get layered,

Inside Zen Statement’s AI Stack

SPEAKER_00 16:44

right? Is you have at the bottom of the pyramid, you have the transaction layer, right? Uh, you need to be able to sort that out before you get to a reporting layer, and after that, you get to the analytics layer. Right. And AI plays a role in all the three layers, right? Uh, when you talk about a transaction layer, like can I get in the transaction data easier into the system and reconcile them automatically so that the data transaction data is cleansed, right? That's a role of uh there is a good role of AI, and we have built you know products around it, right? Whether it's uh you know an intelligent RPA to be able to get the data in, which is a combination of the old RPA plus the Vision AI. That's the one product that we have built, right? So that I can get data from any source, uh, even when I don't have API integrations, right? Uh, we've built a self-serve recon engine so that it can kind of link a new data source to the uh internal order management system data and build that context that, yeah, like you know, this is this is how uh this data source linked to my uh you know uh order management system, right? So that's the second product we built. Now we have talking about like millions of data points. Can I interact with this data? That is the third AI agent that we have built, right? Again, so built on the you know foundation layer of get the data, clean the data, right, and then interact with the data, right? Right. Uh so that is how we built the uh AI stack as well to match with the CFO stack in general, which is the transaction layer, reporting layer, and analytics layer. Very cool. Now, what next we are working on is a dispute management agent, right? Which

Next: Dispute Management Agent

SPEAKER_00 18:18

is gonna be very interesting. So you identified the anomalies, etc., with this. How do you kind of act upon it? So that's our next frontier uh to be able to handle the claims and disputes uh via uh uh you know uh claims agent.

SPEAKER_01 18:33

Right. Very neat. That's my next question was gonna be what's next for you guys working on next over there. So very cool. Well, the last question I have is is sort of a future looking forward-facing question as well. Is what do you think is next for the cash for the next level of cash flow forecasting for strategic planning? Um, you know, what what advice would you have for sellers who who want to get ahead of the next big uh trend or that just want to, in general, want to improve their forecasting

Forecasting Cash Flow, Not Just Sales

SPEAKER_01 19:04

cadence?

SPEAKER_00 19:05

Yeah, no, I think that's a very loaded question, I'll say, right? I can you need to kind of also understand how do people handle some part of it today, right? And you actually asked it in a very good manner because the question was not on the revenue forecast, right? Question was on the cash flow, right? Right. And going back to the part, right, that cash flow is a combination of revenue and costs, right? So uh, you know, you will see a lot of these solutions out there, which actually helps you to do demand forecasting better, right? Um, that you know, what is that you can expect to sell compared to let's say marketplace, whether you do more than that, how much extra you grow, and so on and so forth, right? So there are a lot of solutions out there which can help you understand the marketplace revenues and the forecast better. Similarly, your Google Analytics trend, the Facebook trends, etc., right, can also help you to predict your uh D2C revenue better, right? So each of these things then once get combined into the uh you know a single unified uh you know uh finance platform would give you a top line view, right? Combine that with your cost views, right? That if a transaction is going to happen in this category with this kind of a customer base through this channel, what is my variable cost components, right? That is my financial context. You have to bake that in before you get to the cash flow part. Because you know, every revenue channel will have these different cost components. That means you sell for $100, you get probably 70 in some case, 18 some case, 90 in some case, and sometimes you will get it in you know one week, two weeks, sometimes you'll get it uh, you know, like next day. These are the you know commercial context you need to bring into picture before you get to the cash flow part of it, and bond is when you can actually do the prediction of your cash flows better, right? So it's kind of you know built on two layers. People generally have the first layer, okay, standalone channel level, okay, not at a consolidated level, and cost views are like uh uh you know uh non-existent, right? Right. So you put that together is when you can get to a cash flow forecast uh uh better. And then, you know, based on that, you can take a call whether you are gonna have access money, how do I deploy that better, if I'm gonna have a shortage of money? How will I plug that gap? Right. Those are the uh you know actionable you can take after that.

SPEAKER_01 21:28

Right. Great, amazing, amazing answer. Thank you. Yeah, no, this has been this is something, this is an area um that I don't know a whole heck of a lot about. I did not pay attention to in my finance classes in college. Sorry to all my professors that taught me. Um so I appreciate you enlightening us and and kind

Final Principles And Closing

SPEAKER_01 21:45

of giving us some advice again on on where to be where to be paying attention. You know, your cash flow is is important. It's not just like you said, it's not just you get you sell a product, you get paid. Um it's a lot more complex and it's a lot more in-depth. So I appreciate all of the insight, all of the information you gave there. So any any final thoughts? Anything you want to leave me and the audience with, something to for them to think about, something for them to be considering, not just in quarter four, but again, also throughout the rest of the year.

SPEAKER_00 22:16

Yeah, I think you know, one thing we have to realize, right, is that uh e-commerce is a unique beast, right? Um, and the way I break this down is that uh the way you sell, the way you deliver, and the way you collect is constantly evolving. Uh right. That means that you know you need to have robust systems in place which can actually handle this kind of a complexity, especially from a finance perspective, because this is a business where I call is a bleed by a thousand cuts, right? You will not realize it, but you will start bleeding uh at every transaction level if you don't really, you know, keep an uh close attention to this, right? So have robust systems in place which can look at granularity, look at exceptions, um, uh, you know, uh on a real-time basis. Uh and uh, you know, that's your uh armor to be able to kind of you know uh do well, grow well, and also uh, you know, reap the benefit out of it, right? And don't leave the chips on the table, right? So uh that's I think uh uh you know uniqueness about the e-commerce business. And uh yeah, don't don't treat uh finance as a stepchild.

SPEAKER_01 23:28

Yes. Or an present thought. Right. Right. It's gotta be you gotta be present in the life. Yes, I completely agree. Again, something that I didn't learn until really getting into the weeds in general with e-commerce is where is your money going and where are you properly reinvesting it? Are you even do you even know how much you're making off your products? Um, so it's a very interesting, you're right, e-commerce is a beast. And I think finance is also its own, its own beast. So it's uh double whammy there. It's a two-headed dragon.

SPEAKER_00 23:54

So absolutely. Absolutely. Yes.

SPEAKER_01 23:58

Sorub, thank you so much for for joining us. I appreciate you being a guest on the podcast. I will make sure to have your LinkedIn as well as Zen Statements uh homepage linked down below. So make sure if you're out there watching and need help with your finances, to click down below and get some help because again, it's a two headed dragon and you're not going to be able to fight it on your own. So, and thank you all for watching. I am your host, Velocity Pete, and we will see you next week.