Digital Mindset builds the Exsel.ai Compound AI iPaaS and the seven-platform ecosystem around it: exsel.io, exsel.trade, exsel.shop, Roshni, YouSell.Online and Superdrugs.pk. Seven AI layers, one evidence spine, governed decisions, proven on our own trade.
Product, supplier, market and store information in one working context.
Predictive, causal and prescriptive AI with the economics and evidence attached.
Stores, listings, sourcing and operations delivered by people who sell online.
Digital Mindset builds and operates AI products for people who buy, sell and ship physical goods online. Everything we make answers one question: what should this business do next, and how do we get it done?
Connect business applications, supplier catalogues, marketplace data and web information through Exsel.ai iPaaS.
Turn that information into product dossiers, forecasts, unit economics and ranked recommendations.
Build the stores, listings, sourcing routes and operating workflows that act on the decision.
Run our own trade and consumer destinations, so our tooling is tested on real orders before it reaches a client.
Digital Mindset combines AI product development with hands-on ecommerce operating experience. We are a registered private limited company with regional offices in the United States, the Netherlands, the United Kingdom and Pakistan, serving clients worldwide.
| Legal entity | Digital Mindset (Pvt.) Limited |
| Regional offices | Newark, Delaware (US) · Rijswijk (EU) · Bury St Edmunds (UK) · NASTP Delta, Lahore (EMEA) |
| Markets served | Worldwide. Every platform and solution is global; regional offices support local engagement |
| Flagship product | Exsel.ai Compound AI iPaaS |
| Operated platforms | exsel.io, exsel.trade, exsel.shop, Superdrugs.pk, YouSell.Online |
| Specialist projects | Roshni (trend and affiliate intelligence) |
| Leadership | Fahad Cheema, Chief Executive Officer |
Product expertise, commercial context and implementation support work together in every engagement. Specialist judgement, approvals and store changes remain with you or the agreed implementation team.
Multi-trillion-dollar global ecommerce is operated, product by product, by sellers who decide what to buy, where to source it, how to price it and when to reorder with a virtual assistant, a spreadsheet and a guess. Every one of those decisions has a landed cost, a fee stack, a tax position and a demand curve behind it. Almost none of them are made with that evidence in view.
Supplier comparisons, repricing, stock checks and listing fixes are redone by hand every day, across every marketplace, by people who are paid to repeat rather than to decide.
Supplier feeds, marketplace histories, store data and web signals live in different formats under different identifiers. Nobody joins them, so nobody sees the whole economics of a product.
A chatbot does not know your landed cost, cannot forecast demand with a confidence range, and will happily write to your store. Sellers need intelligence that is grounded, governed and accountable.
Not another dashboard, not another scraper, not another chatbot. A platform that connects the evidence, composes seven AI layers over it, and hands sellers decisions they can approve and act on, with our own trade platforms proving it on real orders.
See the market in numbers →What this means for investors. A large, fragmented operator base, a repeated high-value decision, and a platform that owns the evidence spine those decisions depend on.
Every figure is published by the named source; none is ours. A large, marketplace-driven market paying more every year for decisions still made by hand.
Marketplaces take over half of a seller’s revenue; decision and integration markets compound at 20 to 40% a year; Gartner expects over 40% of agentic AI projects cancelled by 2027 for weak controls.15 A governed decision layer sits where those curves meet.
Most “AI for ecommerce” is a chatbot over a spreadsheet. Exsel.ai is a compound AI system: each layer answers a different question, each is grounded in the same evidence, and the layers are composed into governed workflows rather than a single model guessing in one shot.
| Layer | The question it answers | What it does inside Exsel.ai | Where you meet it | Status |
|---|---|---|---|---|
1 Descriptive AIunified data | What is happening? | One product identity across suppliers, marketplaces, stores and the web; 2,000+ evidence fields per product with provenance. | Passport · exsel.io · exsel.shop pages · every suite | LIVE |
2 Diagnostic AImargin and risk | Why is it happening? | Fee anomalies, margin leakage, stale offers, listing changes and account risks, surfaced with the evidence that explains them. | Inventory and Margin · Account Protection · exsel.trade offers | LIVE |
3 Agentic AIorchestration | Who does the work? | 65 specialist workflows in a ten-stage pipeline with receipts and a no-write boundary; agents prepare, people approve. | All suites · Passport pipeline · exsel.io extraction router | LIVE |
4 Predictive AIforecasting | What will happen? | Probabilistic demand and price forecasts with challenger models and calibrated ranges, built on millions of market observations. | Passport forecast section · Purchase and Reorder · Roshni trend radar | LIVE |
5 Causal AIdrivers | What actually drives it? | A causal gate tests whether a lever (price, content, stock) moves the outcome before any plan relies on it. | Growth and Expansion · repricing advice · launch blueprints | LIVE |
6 Prescriptive AIdecisions | What should we do? | Constrained plans for buying, reordering, repricing and launching, with the economics attached and human approval required before action. | Passport pathways · Purchase and Reorder · YouSell.Online launch plans | LIVE |
7 Generative AI with retrievalexplanation | How do we explain and act on it? | Retrieval-grounded generation writes Passports, briefs, listings and compliance answers from approved evidence, with citations. | Compliance advisor · Passport narrative · YouSell listings · Roshni briefs | LIVE |
A single model cannot forecast, prove causality, optimise a purchase order and explain itself. Compound AI composes specialist models, retrieval, rules and business gates into one workflow, so every recommendation carries its forecast range, causal check, economics and evidence. The composition is the product.
The layers are composed, not stacked: a Passport carries its forecast range, causal check, economics and citations in one dossier.
Every layer reads the same evidence spine. Missing data is marked unknown, never invented, and every value carries its source and freshness.
No layer writes to your store, prices or orders. Plans are proposals with a human approval step and an audit trail.
You are not buying a model. You are buying a decision system whose layers are already composed, grounded and governed, and that gets better with every order it sees.
All seven layers are live. The sources, markets and write permissions each layer may use are configured per engagement.
We build with AI, run on AI and sell AI. These are the rules every workflow we ship has to pass, whether it serves our own trade or a client.
Forecasting, causal checks, optimisation and explanation are different jobs. Each runs on the specialist best suited to it; a compound workflow combines them.
Every value a model sees is resolved onto one product identity with its source and freshness. Missing data is marked unknown, never invented. Generated text cites what it used.
Business rules (eligibility, restrictions, margin floors, stock minimums) qualify or veto. Scores only rank what the gates allow. No model can blend its way past a rule.
No workflow writes to a store, a price, an order or an ad account without an approval step. Every action is one-way, logged and reversible by the person who approved it.
What one agent builds, a different agent and model family verify, with receipts bound to the artefact. No self-certification, in our engineering or our workflows.
Every capability carries its deployment status, confidence and limitations. We would rather tell a client a layer is new than let a confident number do the talking.
A small senior team directs AI agents through written task cards, independent review and an append-only ledger of every run. Workflow count grows while headcount stays flat: the economics we hand to clients.
These principles are enforced in the platform’s contracts and gates, not only in policy: a workflow that violates them fails validation and does not run.
Decisions are only as good as the evidence under them. We built the evidence spine first and the AI second: a way to turn supplier feeds, marketplace histories, store data and web signals into decision-grade facts about one product.
Supplier feeds, marketplace price and rank history, store and order data, social-commerce and web signals, official tax sources, on schedules.
Every record is matched to one product identity in a fixed order; invalid identifiers are quarantined, conflicts halt the record.
Each of 2,000+ fields is resolved, computed, assumed with a visible note, or marked unavailable. Unknown is never zero.
Fresh, provenance-labelled evidence packets feed every workflow, Passport and API; stale offers never reach a decision.
Anyone can call a model. Few can hand it a product with its landed cost, fee stack, tax position, demand history and supplier options already joined, dated and sourced. That spine compounds with every feed, order and outcome, and it is not for sale anywhere else.
Figures are rounded operating facts of the platform as it runs today, not forecasts.
An iPaaS connects a client’s marketplaces, store, suppliers, ERP and ad accounts once, then runs their operating workflows across them on a schedule or a trigger. Exsel.ai adds seven AI layers to each workflow and writes the approved result back where the client works. The same platform runs our own trade.
runs your workflows on a schedule or a trigger, then hands you the decision
Evidence enters through managed connectors, is resolved onto one product identity, runs through sixty-five governed workflows, and leaves as decisions and one-way actions.
Evidence in
Decisions out
Orders, outcomes and feedback return as learning evidence
Every layer shown is live. Sources, markets and write permissions are configured per engagement; nothing is written to your accounts without approval.
Your team stops operating spreadsheets and starts approving decisions. One subscription connects your systems, runs the workflows and writes the approved results back.
Capabilities, integrations and automation permissions are configured and validated per implementation. Recommendations are decision support; approvals remain with the client.
Choose the solution that moves your business forward. Seven platforms for ecommerce sellers, wholesale buyers, creators and operating teams who want intelligent outputs instead of more manual work. Led by the Exsel.ai Compound AI iPaaS, proven on our own trade platforms, delivered worldwide.
What should we pursue, question and do next across sourcing, buying, pricing and growth?
Compound AI integration platform, seven AI layers. Your systems connected once, your workflows run for you.
Built for: Sellers, brands, wholesale buyers
Visit exsel.aiIs this product worth our money once landed cost, fees, tax and demand are counted?
Built for: Anyone about to commit stock
See how it worksWhich supplier, how much to reorder, where margin leaks, what to launch, what threatens the account, what to fix first?
Built for: Operating ecommerce teams
Explore the suitesWhere can trade buyers source proven bestsellers, in every category, at wholesale prices?
Wholesale buying for trade customers across every category that Amazon, TikTok Shop and the other marketplaces sell. exsel.trade starts from what already sells, then shows you the wholesale offer, the product information and the profit context behind it.
Built forFor resellers, retailers and wholesale buyers who want a more focused route from product discovery to purchasing.
Availability, pricing and terms depend on the offer at the time of purchase.
Built for: Resellers, retailers, wholesale buyers
Visit exsel.tradeWhere can shoppers buy across every category the big marketplaces sell, from one trusted store?
Our own global consumer storefront across every category that Amazon, TikTok Shop and the other marketplaces sell, from electronics to beauty, home, baby and grocery, built on the same intelligence we license. Shoppers get curated products, compliance-checked pages and fair prices.
Built forA consumer storefront spanning every category the major marketplaces sell, and a working example of the ecommerce operation Digital Mindset can build and run for you.
Catalogue, pricing and delivery coverage are as shown on the storefront at the time of ordering.
Built for: Consumers worldwide
Visit exsel.shopWhich trends and products deserve our content and affiliate effort this month?
For creators, affiliate teams and sellers who must decide which trends and products deserve content effort. Roshni connects what people are paying attention to with what can actually be sold, promoted and attributed.
Built forA focused growth-intelligence project for choosing where to spend your next content and affiliate effort.
Built for: Creators, affiliate teams, sellers
Ask about accessHow do we get marketplace, social-commerce and supplier data into our products and models as clean, matched JSON?
Marketplace listings, social-commerce signals, supplier catalogues and web pages as structured, product-matched data through documented endpoints and scheduled streams.
Built forOne API key for the commerce data your products, models and workflows depend on, matched and monitored before it reaches you.
Public and client-authorised data only, scoped to source terms and availability. Endpoint coverage, refresh rates and plans are confirmed at onboarding.
Built for: Developers, data teams, AI builders
Visit exsel.ioHow do we get from a product idea to a working store and listings that sell?
For founders and sellers who want practical help with the work between choosing an offer and presenting it online. Store builds, marketplace listings, product content and launch plans, delivered as scoped engagements by people who run stores themselves.
Built forTurn a launch objective into defined deliverables, with specialist support where you need it and none where you do not.
Built for: Founders and sellers
Visit YouSell.OnlineWhere do customers find pharmacy products and specialist aesthetic referrals online?
A specialist online destination for pharmacy needs and high-end skin and cosmetic procedure referrals. One focused customer journey for products, and a clear pathway to the right professional for procedures.
Built forFor customers seeking an online pharmacy destination or a trusted starting point for specialist aesthetic referrals.
Procedure suitability and treatment decisions are assessed by the treating professional. Pharmacy products are supplied in line with applicable regulations.
Built for: Consumers, clinic partners
Visit Superdrugs.pkAn attractive product is not always a profitable opportunity. The Passport puts the commercial evidence for one product in one place, with landed cost, fees, tax and demand already counted.
Use it: before a first order · before a reorder · before a new marketplace · when a listing underperforms. A dashboard shows numbers. A passport explains a decision: what it costs to land, what it could earn, what is unknown, and which pathway the evidence supports.
Leave with a clear explanation of why a product deserves your money, your attention, or further investigation, and what is still unknown.
Six bundles of workflows, each aimed at one operating problem. Choose the buying, margin, growth or protection problem you have today and request the suite that addresses it. No platform-wide commitment required to start.
Supplier options and price lists as one like-for-like comparison, with landed profit, before you choose a source.
→ Supplier discovery · catalogue analysis · offer comparisonPurchase quantities, reorder timing and cash-flow planning grounded in forecast ranges.
→ Order quantity · reorder forecast · cash planningStock cover, excess-stock plans, repricing advice and the fee anomalies that quietly erode margin.
→ Stock cover · repricing · margin-leakage reviewLaunch blueprints, listing improvements, keyword and ad-budget priorities and channel-expansion plans.
→ Launch blueprint · listing optimisation · channel expansionRestriction and IP screening before you list; listing-change and hijack alerts; account-health triage; reimbursement audits; compliance claim checks.
→ Risk guard · listing-change alerts · reimbursement auditProduct priorities, store performance and operating information as decision briefs, so the week starts with what matters next.
→ Weekly decision brief · priority ranking · growth narrativeEach suite is configured for your sources, markets and permissions, validated with your team, then run on an agreed cadence with review points. The suites draw on the documented portfolio of 65 AI workflows; those applied to your engagement are selected for your scope.
Many stores run on a virtual assistant repeating research, comparisons and reports by hand. We rebuild those tasks as connected workflows, so the same work happens once, consistently, with the reasoning attached. Six capability areas, sixty-five documented workflows.
| Capability area | What the workflows cover | What it replaces |
|---|---|---|
| Opportunity and sourcing | Supplier discovery, catalogue analysis, competitor research, cross-channel opportunity screening | Repeated manual searches and spreadsheet collation |
| Purchasing and product economics | Landed-cost analysis, purchase quantities, shipping comparisons, cash-flow planning | Line-by-line offer comparisons and margin guesswork |
| Inventory and margin decisions | Reorder forecasts, excess-stock plans, repricing recommendations, margin-leakage review | Recurring report preparation and late surprises |
| Marketplace operations | Store performance, listing-change alerts, account-health triage, reimbursement review | Daily dashboard checks and missed claims |
| Listing and growth intelligence | Listing optimisation, keyword research, ad-budget priorities, search and AI-answer visibility | Scattered notes and untested listing changes |
| Trends and affiliate economics | Programme matching, commission comparisons, creator research, content briefs, attribution | Chasing every viral signal without a commercial filter |
Business approvals, purchase commitments, store changes and specialist judgement remain with you or the agreed implementation team. The workflows prepare the decision; your people make it.
Capability areas are drawn from the documented workflow portfolio. The relevant services and deliverables are agreed for each client.
Every platform here was built around a job someone does every day. Nothing needs your team to learn a new tool. The workflows arrive where you already work: your inbox, your sheets, your dashboard, your marketplace account.
You know your sales, not your true margin per product after fees, returns and ads. The reorder email arrives a week late.
Start with: Product-to-Profit Passport, Inventory and Margin, Account Protection.
Connect your seller account and price lists. By Friday every product has a Passport with landed margin, reorder date and forecast range, a fee-anomaly list is waiting and listing changes are watched.
A product is hot for ten days, creators quote what they like, and you learn what worked after the money is spent.
Start with: Roshni, Growth and Expansion, exsel.io signals.
A trend-to-product radar for your category, creators ranked by fit and cost, commission and attribution terms side by side, and a launch blueprint for the product the evidence backs.
Three channels, three price lists, one spreadsheet that is always a day old.
Start with: Growth and Expansion, Portfolio Performance.
One weekly brief ranked by money at stake across channels, repricing proposals that respect parity and margin floors, and an Expansion Passport for the channel you have not opened.
Your price list is a PDF, buyers want to know what sells, and your best lines sit next to your slowest.
Start with: exsel.trade, Sourcing and Profit.
Your catalogue on an AI-ranked B2B marketplace where buyers see demand evidence next to your offer, and your own price lists turned into landed-cost comparisons.
You have the product. The store, the listings, the channel choice and the launch order are a fog.
Start with: YouSell.Online, Launch blueprints, Passport.
A scoped build plan with owners and dates, listing content from verified specifications, a Passport per product saying launch, hold or skip, and a day-one keyword set.
Half your week goes on scraping, cleaning and matching before a question gets answered, and the scraper breaks on Tuesdays.
Start with: exsel.io.
One API key, documented endpoints and a scheduled stream of product-matched JSON for your markets, with change monitoring and webhooks. Your notebook starts at the analysis.
Programmes change terms quietly, cookie windows differ, and you post on instinct.
Start with: Roshni.
Programme eligibility matched to your audience, commissions and attribution windows normalised, a content brief per product, and a watchlist that tells you when a programme or trend turns.
Supplier comparisons by hand, cash locked in stock, fees that drift and reimbursements nobody claims.
Start with: Sourcing and Profit, Purchase and Reorder, Inventory and Margin.
Every supplier offer on a landed-cost basis, a purchase-order and cash plan with timing, a fee-anomaly and reimbursement list, and a reorder forecaster that fires before the shelf is empty.
Every platform here was built around a job someone does every day. Find yours and see where to start.
| Your role | Your daily reality | Start with | Why it fits |
|---|---|---|---|
| Amazon seller FBA, private label, wholesale or arbitrage | Fees eat half the price, stock-outs and overstock, Buy Box swings, restrictions and hijackers | Exsel.ai Passport · Inventory and Margin · Account Protection | Fees, VAT and shipping modelled per product; reorder forecasts; listing-change and hijack alerts |
| TikTok Shop seller social commerce, live and video | Trends move in days, creator costs are opaque, product lives are short | Roshni · Growth and Expansion · exsel.io signals | Trend-to-product radar, creator and commission intelligence, launch blueprints on evidence |
| Multi-channel seller eBay, Walmart, own store | Price parity, duplicated listings, one spreadsheet per channel | Growth and Expansion · Portfolio Performance | Channel-expansion passports, repricing advice and one weekly brief across channels |
| Wholesaler, distributor B2B supply | Catalogue breadth, price lists in every format, buyers who want bestsellers | exsel.trade · Sourcing and Profit | Sell through an AI-ranked B2B marketplace; turn price lists into comparable, landed-cost offers |
| Retailer, reseller buying to resell | What to stock, from whom, at what landed margin | exsel.trade · Product-to-Profit Passport | Bestsellers at wholesale prices with the economics and demand evidence attached |
| Brand owner, founder going direct or launching | Store build, listings, channel choice, launch sequencing | YouSell.Online · Launch blueprints · Passport | Scoped implementation plus evidence on what to launch, where and at what price |
| Agency, aggregator many accounts | Repeating the same analysis per client, no comparable view | Exsel.ai Portfolio Performance · multi-store dashboard · API | One governed workflow set across every account, with tenant isolation and audit trails |
| Data analyst, data scientist | Scraping, cleaning and matching commerce data before any analysis starts | exsel.io | Product-matched JSON, scheduled streams and change monitoring, delivered clean |
| Developer, product team | Building features that need marketplace, supplier or social-commerce data | exsel.io API and SDK · evidence channel | Documented endpoints, webhooks and usage plans; no scraper to maintain |
| Affiliate marketer, creator | Which products, which programmes, which terms, what to post | Roshni | Programme eligibility, commission and cookie-window normaliser, content briefs, attribution ledger |
| Marketing, content manager | Keywords, listing copy, ad budget, visibility in search and AI answers | Growth and Expansion · generative listings | Keyword mining, listing optimiser, ad-budget advisor, SEO and AI-answer visibility audit |
| Sourcing, procurement | Supplier comparison by hand, hidden landed costs, switch decisions | Sourcing and Profit · exsel.trade | Price-list analyser, landed-cost calculator, supplier-switch recommendation |
| Finance, operations | Cash tied in stock, fee leakage, reimbursements never claimed | Purchase and Reorder · Inventory and Margin | Cash-flow and PO planner, fee-anomaly monitor, reimbursement auditor, reorder forecaster |
| Shopper · Clinic partner | A trusted store across categories · a referral route for patients | exsel.shop · Superdrugs.pk | Compliance-checked pages and fair prices · pharmacy access and aesthetic referrals |
You do not need the whole platform on day one. Start with the one workflow that costs you the most hours or the most margin; the rest is already connected when you want it. Tell us your role and your bottleneck: admin@digital-mindset.co
Anyone can wrap a model in a chat window. The defensible value sits underneath: the evidence spine, the governed workflow portfolio, the composed AI stack, and the trade platforms that feed it real outcomes.
One product identity across suppliers, six marketplaces, stores and the web; 2,000+ fields per product; millions of observations accumulating weekly. Data joined this way compounds, and it is not for sale anywhere.
Seven layers, descriptive to generative, composed into one governed pipeline. Each recommendation ships with its forecast range, causal check, economics and citations.
Sourcing, purchasing, inventory, growth, account protection and portfolio control, each with inputs, evidence dependencies and an output contract. Years of domain logic, already written.
exsel.trade (B2B) and exsel.shop (B2C) run on the intelligence we license, across every category the big marketplaces sell. Our margin is the first customer, and every order returns as evidence.
No-write boundary, human approval on every action, tenant isolation, spend caps, audit trails and independent QA. The controls enterprise buyers ask for are already in the architecture.
Seven platforms share one spine: data in through exsel.io and Roshni, decisions out through the trade and service platforms. Each makes the others more valuable.
The company is built the way it sells: a small senior team orchestrating AI agents under independent QA, with four regional offices for reach. Capability per head that a conventional software company cannot match.
Own the evidence spine and the governed decision layer for ecommerce, prove it on our own trade, and license it to everyone else.
Every platform in the ecosystem is a revenue line, and every revenue line feeds the evidence spine that makes the next one stronger.
One platform build serves six revenue lines; new products are workflows, not new companies.
Trade revenue funds data acquisition that pure software vendors must buy.
Usage-based data APIs monetise the spine directly, independent of seller subscriptions.
AI-native delivery keeps headcount flat while the workflow count grows.
Revenue lines are described structurally. Pricing, tiers and commercial terms are provided in the investor data room.
The platform is not a deck. These are the operating facts of the system as it runs today, described at the level we publish.
All seven AI layers, 65 workflows, Passports, solution suites, trade platforms, data APIs and the compliance advisor, operating today.
Wider marketplace, supplier and social-commerce coverage feeding the evidence spine across all categories we trade.
Exsel.ai subscriptions, exsel.io API plans, exsel.trade and exsel.shop category growth, regional sales from the US, EU, UK and EMEA offices.
Agencies, aggregators and enterprise sellers running their operations on the platform through partner APIs.
Financial history, pipeline and the funding ask are shared in the investor data room.
Operating figures are rounded and describe the platform as deployed. They are not forecasts.
You should know what you are buying, what we will deliver and how it will fit your business. Every engagement follows the same four stages.
Show us the task, decision or process that is taking too much time or creating uncertainty. We agree objectives, available information and a success measure.
Define the outputs, the sources we may use, responsibilities on both sides and the review points. The scope is written down before work starts.
Configure the workflows or deliver the implementation. Check output quality, permissions and behaviour with your team before adoption.
Use the outputs, support your team, and refine the approach from feedback in real business use. Expand to the next workflow when the first one earns it.
Purchases, repricing, listing changes and anything with legal or financial weight are reviewed by an accountable person before action.
Sources, credentials and automation permissions are agreed per engagement. We never widen access without a written decision.
Every recommendation carries the evidence it used, so your team can question it, reproduce it and audit it later.
Scoped workflow projects, platform subscriptions on Exsel.ai, implementation retainers through YouSell.Online, and wholesale buying through exsel.trade. Mix them as your priorities change.
Choose the problem that best matches your business. Start with one focused solution and expand as needs become clearer.
Which products deserve my money, and why?
Exsel.ai · Product-to-Profit PassportRequest a Passport walkthroughPrice lists, landed costs, alternatives
Sourcing and Profit Intelligence suiteRequest a sourcing demonstrationFees, repricing, excess stock, reorders
Inventory and Margin and Purchase and Reorder suitesShare a product set for reviewRestrictions, hijacks, health, reimbursements
Account Protection suiteRequest an account risk reviewBestsellers, every category, trade prices
exsel.tradeVisit exsel.tradeElectronics to grocery, worldwide delivery
exsel.shopShop exsel.shopTrends, programmes, creators, briefs
RoshniAsk about Roshni accessMarketplace, social, supplier and web data as APIs
exsel.ioExplore the API at exsel.ioStore build, listings, launch plan
YouSell.Online with Growth and Expansion IntelligenceSend your store-launch briefReplace repetitive VA tasks
Exsel.ai scoped workflow projectMap the tasks you want to replace
Dear clients and partners,
I started Digital Mindset because I sell online myself. I know what it costs to compare forty supplier offers by hand, to reprice a catalogue from memory, and to discover a margin problem three months after the stock arrived. The tools we build exist to remove that cost.
So we built Exsel.ai as a compound AI system, not a chatbot. Seven layers of intelligence, from unified data and diagnostics through agentic workflows, predictive forecasting, causal checks and prescriptive plans to retrieval-grounded explanation, composed over one evidence spine and governed so that AI prepares and people approve. Around it sit the platforms that prove it on real orders: exsel.trade, exsel.shop, exsel.io, Roshni, YouSell.Online and Superdrugs.pk.
To clients, this means decisions with the forecast, the economics and the evidence attached. To investors, it means a company that owns the evidence spine and the governed decision layer for a multi-trillion-dollar operator base, sells what it builds, and runs with AI-native economics from four regional offices.
Show us your biggest operational bottleneck, or ask us why this is the platform to back.
Our goal is simple: give you more time to build the business, with better information behind every decision.
Tell us where manual work slows you downClients get a clear recommendation and a scoped proposal. Investors get the data room, the platform walkthrough and the team. Either way, you will talk to the people who built it.
Clients: request a discovery conversation · Investors: request the data room
