Orders, stock, cash and reviews, across every location, reconciled against the books and shown in one place. An advisor layer names the decision hiding in the numbers, so it stops waiting for the monthly P&L.
Illustration · locations and figures are placeholders
Operators we work with, from Mumbai to Dubai to Atlanta to Sydney
The morning routine
Five logins before anyone sees the business.
The order system in one tab, inventory in another, accounting in Tally, ads in two more. Nobody sees the whole business, so decisions wait for the monthly numbers.
01
The numbers disagree
Two systems will report different revenue for the same week. A dashboard that averages them is worse than none.
02
Founders assemble the report
The most expensive reporting labour in any business is the person who should be deciding. For one retail brand it was about nine hours a week.
03
The pattern is invisible
Returns, stockouts and dead stock are expensive, and nobody can see the pincode, SKU or location driving them.
What we do
Four things on one screen. Then the next decision.
We build the syncs first, reconcile them against your books, and only then put a layer on top that tells you what to do.
Syncs
Every source, on a schedule, with alarms
Orders, returns and RTO from the order system. Live stock cover per SKU per warehouse from inventory. Revenue and margin from the books. Every sync is monitored, because a silently stale dashboard is worse than a broken one.
Order, inventory, accounting and ad syncs
Failure alerting on every sync
New sources added as your stack changes
Sources · one screenScheduled sync
Orders and returns Order system…
Stock cover per SKU Inventory system…
Revenue and margin Accounting…
Ad spend Ad platforms…
MismatchRevenue differs between two systems Deciding which is right
Illustration · source names are generic
Reconciliation
Cash next to operations, and right
Margins are reconciled against accounting rather than the ad platform, which is the most common reason a D2C brand believes it is profitable when it is not. We decide which source is authoritative for each number first.
You get
A source audit and reconciliation check
Margins from the books, not the ad manager
A baseline of hours spent on manual reports
Advisor layer
The decision, named on screen
A dashboard that only displays leaves the interpretation to you at the end of a long day. The advisor layer flags which SKU to reorder given its lead time, which to discount, and where returns are bleeding cash.
Rules tuned to your lead times and margins
Alerts on stockouts, dead stock and RTO spikes
For one brand, acting on the flags cut RTO 22%
Advisor · what to do next3 decisions
Reorder SKU A
7 days of cover left, supplier lead time is 12 daysAct
Pause cash on delivery for 3 pincodes
They are driving this week’s returnsAct
Push the bundle on SKU B’s page
It sells better bundled than aloneAct
Illustration · placeholder SKUs and rules
Every location
Health at a glance, detail on demand
For multi-location operations the screen starts at the whole business and filters down by site or region, with review sentiment next to sales, so a slipping location shows up before the monthly review.
You get
Location list with a health signal for each
Filters by region and by who needs attention
Built for a 70+ location brand, productized since
Want to see which of your numbers disagree?
Two minutes of questions, then pick a time · 30 minutes with a founder · You keep the plan either way
It replaces the manual report in about three months.
1
Weeks 1–2
Source audit and reconciliation
Frequently the most valuable fortnight, because it surfaces numbers that have quietly disagreed for years.
2
Weeks 3–5
Syncs live, operational view up
You start checking the screen against the manual report rather than instead of it.
3
Week 6
The advisor layer lands
The screen stops describing the business and starts naming the next decision.
4
Months 2–3
It becomes the routine
For the retail brand that meant about nine hours a week of founder reporting removed and five logins collapsed into one.
5
Ongoing
New sources, tuned rules
As the stack and the lead times change.
Proof · Built for a 70+ location retail brand
One screen replaced five daily logins, and cut returns by 22%.
Orders, inventory, cash and next actions used to live in separate tools. Flagging the repeat-offender pincodes behind returns pointed the team at a specific action, and the action was taken. The dashboard has been productized since.
RTO reduction after flagging repeat-offender pincodes
22%
replaces five daily tool logins
1 screen
Fit
Built for some teams. Not for every team.
A strong fit if
You run D2C or retail with orders, inventory, accounting and ads in separate systems.
A founder personally assembles the weekly numbers.
You operate several locations or warehouses, and stock cover per site keeps being decided late.
You want the decision named on screen rather than another chart to interpret.
Probably not a fit if
Your tools have no API and no usable export, so the integration costs more than the screen is worth.
One spreadsheet genuinely covers your operation. We will say so rather than build something heavier.
You are not willing to fix unreconciled data first. The dashboard will faithfully display the disagreement.
You need a board-deck visual rather than an operational tool.
Client love
Clients on working with a team that owns the result.
4.9Average client rating
“01 / 02
If you are looking for a dedicated team that understands real growth, work with TechDevs.
AshtonOperations & Digital Growth · Xhale City · 70+ locations
“A colleague recommended Prithvi for our landing page design, and it was the best decision we made. Within a month, we saw a 40% increase in conversions.”
SSujal MehtaLocal Guide · Google review
“I’ve worked with Prithvi and his team at Tech Devs multiple times, and every single experience has been exceptional… once it starts showing results, the visibility and impact are incredible.”
SSamelip ShahLocal Guide · Google review
“One of the most helpful guys I’ve met when it comes to seo. They’re well equipped, and have proven strategies for fintech.”
SSiddharth ThakkarGoogle review
“Got my website done from tech devs. They were swift and finished it before time. Very humble courteous team with great knowledge for problem solving.”
MManoj BodhwaniGoogle review
“Love the energy and honest recommendations. Also the work got completed on time. Thank you thank you thank you!!!!”
RRima RohraGoogle review
“Great SEO services! Highly Recommend!!”
DDevika MandyaniGoogle review
“A colleague recommended Prithvi for our landing page design, and it was the best decision we made. Within a month, we saw a 40% increase in conversions.”
SSujal MehtaLocal Guide · Google review
“I’ve worked with Prithvi and his team at Tech Devs multiple times, and every single experience has been exceptional… once it starts showing results, the visibility and impact are incredible.”
SSamelip ShahLocal Guide · Google review
“One of the most helpful guys I’ve met when it comes to seo. They’re well equipped, and have proven strategies for fintech.”
SSiddharth ThakkarGoogle review
“Got my website done from tech devs. They were swift and finished it before time. Very humble courteous team with great knowledge for problem solving.”
MManoj BodhwaniGoogle review
“Love the energy and honest recommendations. Also the work got completed on time. Thank you thank you thank you!!!!”
RRima RohraGoogle review
“Great SEO services! Highly Recommend!!”
DDevika MandyaniGoogle review
FAQ
Questions buyers ask us first.
What is operations dashboard development?
Operations dashboard development builds a single screen that pulls live data from the separate tools a business runs on and turns it into decisions. Ours syncs the order management system, inventory, and accounting, then adds an advisor layer that flags what to do next: which SKU to reorder, which to discount, and where returns are bleeding cash. It replaces five daily logins with one view.
Which systems does the dashboard connect to?
It syncs your order management system for orders, returns, and RTO rates; your inventory system for live stock cover per SKU per warehouse; and your accounting for revenue, margins, and cash position reconciled against the books rather than the ad manager. It works with D2C and multi-location retail stacks, including Shopify-based ones.
How is this different from Shopify analytics or a BI tool?
Shopify analytics shows you store data; a generic BI tool shows you charts you still have to interpret. This dashboard reconciles orders, inventory, and cash across all your tools and then tells you the specific action to take, like reordering a SKU with seven days of cover left against a twelve-day lead time. It was built for a 70+ location retail brand and productized from there.
What did it change for the brand that first used it?
It eliminated 9 hours a week of founder reporting time, cut the RTO rate 22% after flagging repeat-offender pincodes, and replaced five daily tool logins with one screen. Because the advisor layer surfaces decisions in real time, those decisions stopped waiting for the monthly P&L.
How much does dashboard development cost?
It is priced as a build plus a running fee: a one-time cost to design and ship the dashboard, then a smaller ongoing fee to host, monitor and extend it. The build cost is driven mostly by how many systems have to be integrated and how clean their data is. We scope it on a first call and give you a real range.
Which systems can you connect?
The standard build pulls from the order management system, the inventory system, accounting and the ad platforms — the five logins most D2C operators open every morning. Anything with a usable API or a scheduled export can generally be added. Where a tool offers neither, we will tell you the integration cost is likely to exceed the value.
Why not just use Shopify analytics or Google Data Studio?
Those show you one system’s view, and the expensive problems live between systems — stock cover against lead time, returns against pincode, margin against the books rather than the ad manager. A platform dashboard also stops at describing what happened. The advisor layer is the part that names the decision.
What is the advisor layer?
It is the rules layer that reads the synced data and flags the decision hiding in it: reorder this SKU because there are seven days of cover and a twelve-day lead time, pause cash on delivery for these pincodes because they are driving this week’s returns. For one retail brand, acting on the returns flag cut RTO by 22%.
What if my data is a mess across systems?
That is the normal starting position and it is why reconciliation happens before anything is visualised. We find where two systems disagree about the same number and decide which is authoritative for each metric. A dashboard built on unreconciled data will faithfully display the disagreement, and a screen nobody trusts gets abandoned within a month.
How long until it replaces our manual reporting?
Typically two to three months. The syncs and the operational view land in the first six weeks, but the screen only takes over once people have checked it against the manual report long enough to trust it. For the retail brand it eventually removed around nine hours a week of founder reporting time.
Who leads this
Run by the engineer, not handed to a junior.
Co-founder · CTO, AI & operations
Prasad Iyer
Runs engineering and the AI division. Builds the systems the marketing runs on: multi-agent content pipelines, outbound booking agents and operations dashboards.
