Stop reporting on your business. Start running it.

Dsays connects the systems your business already runs on, including ERP, storefront, marketplaces, payments, marketing and inventory, and automates the manual reporting in between. Operations, managers and leadership get clear answers instead of spreadsheets to build.

Data, AI and automation consultancy for D2C and consumer businesses.

Business overview Sample data
Revenue
₹48.6L
+12.4%
Orders
12,842
+8.7%
Conversion
4.82%
+0.6 pts
ROAS
4.7×
+14.2%
Revenue Last 30 days
Needs attention Two high-volume SKUs will stock out within 6 days at the current sales rate.

How much time is your team losing to manual data work?

In most growing businesses the answer is hidden inside routine work. Nobody books it as a cost, but it shows up every week. Put in your own numbers to see what it adds up to.

  • Weekly and monthly MIS Exporting from each system, pasting into sheets and fixing formulas before anyone can read the numbers.
  • Reconciliation Matching orders, returns, payments and marketplace settlements line by line.
  • Answering leadership's questions Pulling a fresh report every time someone asks what changed and why.

Estimate your team's time

Move the sliders to match your team.

6
10
2,880hours a year

That's about 360 working days.

Based on 48 working weeks, 8-hour days and a 40-hour week. Nothing is sent unless you choose to share it.

Build With Dsays

Opens WhatsApp with your estimate filled in.

The same hours disappear at every level of the business.

Not because people are slow, but because the data isn't ready when they need it. Dsays closes that gap for the people who feel it most.

Operations teams

Hours go into exporting data, updating trackers and reconciling numbers by hand.

What Dsays takes over

  • MIS automation
  • ERP and sheet consolidation
  • Returns and payment reconciliation
  • Stock-out alerts
  • Production and repeat planning
Target 50–60% less repetitive effort

Managers

Most of the week goes into producing numbers instead of deciding what to do about them.

What Dsays takes over

  • Target vs actual tracking
  • Profit and margin views
  • Demand patterns and sales anomalies
  • SKU opportunities
  • Exception identification
Target 40–50% less manual analysis

CEOs and CXOs

Leadership shouldn't wait for a team to assemble the answer to a simple question.

What Dsays takes over

  • Executive KPI view
  • Daily AI business briefing
  • Risk and opportunity signals
  • Automated alerts
  • Ask-your-data AI
Target 50–60% less reporting wait time

Targets are illustrative, not guaranteed outcomes. Actual savings depend on data quality, process volume, integrations, automation scope and implementation.

One is a reporting loop. The other is an intelligence loop.

Task Today With Dsays
Getting the data Exported by hand from each system Collected automatically from connected systems
Preparing reports Pasted into Excel or Sheets, formulas maintained manually Dashboards and MIS refresh on their own
Reconciliation Checked line by line Mismatches flagged automatically
Spotting problems Noticed after the damage is done Exception alerts as soon as something moves
Answering leadership The team goes searching for answers Decision-ready briefing, with AI insights on what changed

What we automate.

From the data layer to the decision layer: the systems and workflows that keep a modern consumer business moving, without anyone moving the data by hand.

Data and BI

Bring data scattered across ERP, sheets and platforms into one place your team can trust.

AI automation

Automate the repetitive analysis, alerts and reporting that quietly eat a team's week.

Growth analytics

See what's driving sales, channel performance, conversion and profitability, not just the totals.

Demand and inventory

Catch stock-out risk, lost sales and production gaps early enough to act on them.

Customer intelligence

Understand repeat behaviour, churn risk and your highest-value customer segments.

Executive intelligence

One view for founders and CXOs of what changed, why, and where to look next.

Works on top of what you already use

ERP Website and storefront Marketplaces Payments and finance Marketing and ad platforms Inventory and warehouse Excel and Google Sheets

From manual work to automated operations, in four steps.

  1. Audit

    We map where your team loses time to spreadsheets, repetitive reporting, reconciliation and follow-ups.

  2. Connect

    We connect the relevant business systems and build a reliable data foundation.

  3. Automate

    We automate data collection, reporting, reconciliation, alerts and recurring workflows.

  4. Deliver insight

    Your teams get dashboards, AI insights, forecasts and exception alerts instead of spreadsheets.

Built for how corporate teams work

Scoped before we build

Every engagement starts with an audit, so the work is agreed before anything is built.

Access you control

We work only with the system access your team grants, and use read-only access wherever possible.

Confidentiality

We're happy to sign an NDA before reviewing any of your business data.

Documented handover

Automations are documented so your team understands what runs, when, and why.

A founder shouldn't have to ask for yesterday's numbers.

Leadership should get the signal, not wait for someone to build the report. Dsays turns business data into a short daily briefing: what changed, what's at risk, and what to do next.

Daily AI briefing Sample
Good morning.
Revenue+12.4%
Orders+8.7%
Gross margin−2.1%
What changed

Premium category sales rose 18%.

Needs attention

Two high-volume SKUs are close to stocking out.

Opportunity

Repeat customer revenue is 9% above last month.

Recommended action

Prioritise production for the two at-risk SKUs.

Building Dsays from data to impact.

Mayuresh Ahuja founded Dsays on a simple belief: businesses should spend their time making decisions, not preparing the information needed to make them.

His work brings together data analytics, business intelligence, Python-based data engineering, statistical thinking and AI-driven automation. It starts with understanding how a business actually operates, finding where teams lose time, and turning that repetitive data work into automated workflows.

That approach led to a D2C business intelligence platform covering executive dashboards, SKU intelligence, repeat customers, returns, stock-out monitoring, production, profitability, demand patterns, anomaly detection, customer risk, forecasting and daily AI briefings.

Python SQL Business intelligence Machine learning Predictive analytics Demand forecasting Anomaly detection Customer analytics AI and automation
“The goal is not to give businesses more dashboards. It's to give their teams more time and their leaders better answers.”

Common questions

Anything else, ask us directly on WhatsApp or by email.

Do we need to replace our current tools?

No. Dsays works on top of the ERP, storefront, marketplaces, payment systems and sheets you already use.

Where does an engagement start?

With an audit of where manual data work happens today. That tells us what's worth automating first and what the scope should be.

What kind of businesses do you work with?

D2C and consumer businesses whose operations run across several systems and spreadsheets, and whose teams spend real time every week preparing numbers.

How is our data handled?

We use only the access your team grants, prefer read-only access where systems allow it, and can sign an NDA before reviewing your data.

How do we get started?

Tap Build With Dsays to open a WhatsApp chat, or email mayuresh@dsays.in with a short note on the reporting work you'd like to remove.

Start with one report your team rebuilds every week.

Tell us which one. We'll show you what it would take to automate it, and what else could follow.