Around 2020, a wave of Indian technology start-ups attracted enormous attention and funding. They digitised small shops, rebuilt banking experiences, automated industrial procurement, delivered goods within minutes, sold mattresses in boxes and processed payments for millions of merchants. Business training courses studied them closely to understand why investors and customers flocked to them.
Several years later, the picture is mixed. Some of these businesses grew into substantial, lasting companies. Others shrank sharply or shut down when funding became scarce and their unit economics failed to work. Both outcomes are instructive.
This article distils twelve business model patterns from that wave of start-ups, explains what made each attractive, notes where the risks lay and suggests what small businesses, including manufacturers and trades, can borrow. Individual companies are not named, because their fortunes have changed and the patterns matter more than the names.
Pattern 1: Digitise a fragmented market
Many industries consist of thousands of small wholesalers, distributors and retailers trading through phone calls, paper and personal relationships. One of the fastest-growing start-ups built a business-to-business marketplace where wholesalers and manufacturers could sell directly to small retailers, much as large Chinese platforms had done for small businesses there.
Why it attracted investors: digitising fragmented markets creates efficiency and generates valuable data about products, prices and customers.
The risk: marketplaces need huge scale and often spend heavily on discounts and logistics before becoming profitable.
What small businesses can borrow: if your customers or suppliers are fragmented, an easy online ordering system, catalogue or portal can make you the most convenient option. A small industrial supplier with a simple online reorder system can win business from competitors who still require phone calls and emailed quotes.
Pattern 2: Build a value-added layer over existing infrastructure
Some start-ups did not build banks or payment networks. They built value-added services on top of existing infrastructure: apps that connected to business bank accounts and added invoicing, payment automation and reconciliation; payment apps that used existing banking rails but offered better experiences.
A key lesson emerged: customers pay for value-added services, not for underlying technology. Technology infrastructure can be rented from large cloud providers. The value lies in solving customers’ specific problems on top of it.
What small businesses can borrow: you do not need to build technology from scratch. Combine existing tools, such as cloud software, payment platforms and standard equipment, into a service that solves a particular customer’s problem better than anyone else.
Pattern 3: Remind, reward and gamify
One start-up addressed a simple frustration: people with several credit cards miss statements, forget due dates and pay late fees that also damage their credit scores. Its app linked customers’ cards, reminded them of due dates and rewarded on-time payment with points redeemable at partner businesses.
Everyone benefited: customers avoided fees and protected their credit, card issuers received payments on time, and partner merchants gained customers.
What small businesses can borrow: reminders and rewards change behaviour. A maintenance business can send service reminders before equipment is due for inspection. A supplier can remind customers when consumables usually run low. Loyalty programs reward repeat purchasing. The article on gamification and loyalty programs explains how to design them well.
Pattern 4: Simplify industrial procurement
Buying construction materials, tools and maintenance supplies often involves phone calls, middlemen, uncertain quality and inconsistent prices. An industrial procurement start-up let businesses find suppliers, compare prices and order through an app, with guaranteed quality and delivery.
What small businesses can borrow: industrial buyers value certainty: reliable quality, transparent pricing and predictable delivery. A small manufacturer or distributor that offers clear online pricing, stock visibility and guaranteed lead times can stand out in markets where buying is still opaque.
Pattern 5: Disrupt pricing with low, simple fees
A discount stockbroker attracted millions of customers by replacing percentage-based brokerage with low, flat fees per trade, and by building fast, well-designed trading tools and analytics that showed investors their own behaviour patterns, such as where they tended to win and lose.
What small businesses can borrow: simple, transparent pricing can be a powerful differentiator in markets known for complex or opaque fees. Fixed-price packages for common jobs, for example, reduce customers’ uncertainty.
Pattern 6: Use flexible networks for local delivery
Hyper-local delivery start-ups used networks of riders, often working part-time, to buy and deliver goods from nearby shops within an hour or less.
The caution: several high-profile quick-delivery businesses later shrank or collapsed. Delivering small orders quickly is expensive, and many could not cover their costs without continuous investor funding.
What small businesses can borrow: speed matters to some customers, but only when they will pay for it. Offer express service at a price that covers its cost, rather than subsidising speed for everyone.
Pattern 7: Solve the last mile
Micro-mobility start-ups placed small electric scooters and bikes at train stations, letting commuters complete the final few kilometres of their journey through an app.
What small businesses can borrow: look for “last mile” problems in your customers’ processes, the small, awkward gaps that larger providers ignore. A fabricator might offer final installation, a supplier might offer delivery to site rather than to a depot, and an engineering firm might offer commissioning support after design.
Pattern 8: Expand from a product into an ecosystem
Several start-ups began with a single service and expanded into related ones. A payments app added investments, insurance and banking. An online pharmacy expanded into health supplements, alternative medicines through acquisition and health analytics. Each step used the trust and customer base built by the previous one.
The risk: expanding too fast, before the core is profitable, spreads resources thin.
What small businesses can borrow: once customers trust you for one thing, consider which related needs you could meet. A machinery supplier might add servicing, spare parts, training and finance arrangements. Expand step by step, making sure each addition is profitable.
Pattern 9: Replace paper records, then build on the data
Two widely used apps digitised paper records. One replaced visitor registers at apartment complexes, recording entries, exits and deliveries digitally and letting residents approve visitors from their phones. Another replaced the paper credit ledgers kept by small shops, reducing lost records and disputes, and then let shopkeepers send reminders and offers to customers.
Paper records get lost, damaged and cannot be searched. Digital records solve these problems, and the data they create opens new services.
What small businesses can borrow: many small manufacturers still rely on paper job cards, handwritten maintenance logs, paper timesheets and spreadsheets emailed around. Digitising them reduces errors, saves time and creates data for better decisions: which jobs are profitable, which machines break down most, which customers pay late.
Pattern 10: Software as a service with insight
A restaurant software start-up built point-of-sale systems with customer relationship and inventory management behind them, sold on monthly subscriptions. Its value lay not only in processing sales but in insight: which dishes sold most, which staff served the most customers, what to promote next week and how promotions affected sales.
What small businesses can borrow: data from your own operations can guide better decisions. If you supply customers with equipment or services, consider offering them insight too, such as usage reports, maintenance histories or performance comparisons. Insight turns a supplier into an adviser.
Pattern 11: Social selling and live commerce
One start-up let ordinary people become resellers, sharing products with their own social networks and earning margins on sales, without holding stock. Another brought the old television shopping format to mobile phones, with sellers demonstrating products live and answering viewers’ questions.
The caution: some live commerce businesses did not last, and reseller models can raise questions about product quality and consumer protection.
What small businesses can borrow: demonstrations build trust. Short videos or live sessions showing a product in use, answering real questions, can be more persuasive than any brochure. Referral programs that reward existing customers for introductions can also extend reach cheaply.
Pattern 12: Rethink the product and its delivery together
A mattress start-up sold mattresses online, compressed and rolled into compact boxes that expand within a day of opening. Customers measured their beds, ordered online and received delivery within days, avoiding showroom visits and awkward transport. The business followed up to collect feedback and offered a trial period.
Payment terminal providers grew by offering reliable hardware, distribution networks and support in local languages, earning merchants’ trust even when their products cost more. Electric vehicle start-ups rethought mobility around electric power and local manufacturing.
What small businesses can borrow: innovation does not have to be in the product itself. Packaging, delivery, installation, support and the language you use with customers can all create advantage. A manufacturer that redesigns packaging to cut freight costs, or a supplier that offers technical support from people who understand customers’ work, can win against larger competitors.
The common thread: solve a burning problem with value-added service
Across all these patterns, the most important lesson is this: customers pay for solutions to pressing problems, delivered conveniently, not for technology itself. Technology is an enabler. Value comes from understanding customers’ problems deeply and solving them better than alternatives.
A second lesson is that data is an asset. Businesses that capture data about their operations and customers can make better decisions and offer new services.
A third lesson, learned painfully by some of these start-ups, is that funding is not a business model. Growth subsidised by investors can disappear quickly when funding dries up. Lasting businesses build unit economics that work. The article on chasing customers, not investors explores this.
Questions to apply these patterns
- Which of our customers’ problems are still handled with paper, phone calls or guesswork?
- Could we digitise an internal process and use the data to make better decisions?
- What value-added service could we build using existing technology?
- Where are the “last mile” gaps in our customers’ processes?
- What related needs could we meet for customers who already trust us?
- Could reminders, rewards or simpler pricing change customer behaviour in useful ways?
- Could packaging, delivery or support become a source of advantage?
- Does every new service cover its costs, or are we subsidising growth we cannot sustain?
A worked example
A small industrial fastener distributor in Adelaide competes against large national suppliers. Applying these patterns, it:
- launches a simple online reorder portal for regular customers, showing stock, prices and lead times;
- digitises its paper picking and delivery records, then uses the data to identify which customers usually reorder at predictable intervals;
- sends automatic reminders to those customers before their usual reorder date;
- offers a vendor-managed inventory service for its biggest customers, stocking bins on their sites and replenishing them on a schedule;
- provides each major customer with a quarterly usage report showing consumption trends and suggestions for consolidating part numbers.
Within eighteen months, repeat orders rise, customers consolidate their purchasing with the distributor and the business is increasingly seen as a partner rather than a supplier, all using affordable, existing software.
Frequently asked questions
Do I need to become a technology company? No. Most of these patterns can be applied with off-the-shelf software and better processes. The aim is to solve customers’ problems more conveniently, not to write software.
How do I know which pattern suits my business? Start with your customers’ biggest frustrations and your own most manual processes. The right pattern is the one that addresses a real, costly problem.
Why did some well-funded start-ups fail? Commonly because their costs per customer exceeded what customers would pay, and they relied on continuous investment to cover the gap. When investment slowed, the model could not stand on its own.
Summary
A wave of fast-growing start-ups offers twelve useful business model patterns: digitising fragmented markets, building value-added layers over existing infrastructure, reminding and rewarding, simplifying procurement, transparent pricing, flexible local delivery, solving the last mile, expanding into ecosystems, replacing paper records, software with insight, social and live selling, and rethinking product and delivery together. The enduring lessons are to solve pressing problems with value-added service, treat data as an asset and build unit economics that work without perpetual funding. Small businesses can apply these patterns with existing tools to serve customers more conveniently and stand out from larger competitors.
Sources: small-business training notes on a case study of 21 Indian start-ups, together with general business model practice and publicly reported outcomes of the period. Companies are not named, because their circumstances have changed. Examples are illustrations.
