The History of Sales Operations

By Victor Hoang · Updated Oct 25, 2026

In 1884 John H. Patterson bought control of a failing cash register firm in Dayton, Ohio. Fewer than 400 of its machines had ever been sold. Its salesmen milked an area, then moved on. Someone had to decide who sold where, against what target.

Sales operations is a young name for old work. The work, keeping the records, drawing the territories, setting the quotas and counting the results, shows up in merchant archives from about 1900 BCE. It appears in a recognizable managed form at National Cash Register in the 1880s and 1890s. The modern software version arrived in the 1990s, and the function was folded into "revenue operations" by 2019. The throughline: whenever selling grew too big for one person to keep in their head, someone had to build the back office that made it measurable, and that back office is what we now call sales ops.

The job is easier to understand once you see how many times it was invented before it had a name.

Timeline at a Glance

The Ledger Years (c. 1900 BCE-1900)

Merchants learn that you can't manage what you can't record

The scene is a trading quarter in central Anatolia, nearly four thousand years ago. Merchants from the city of Ashur ran a commercial settlement at Kanesh, buying and selling tin and textiles. Livius reports that more than 23,000 clay tablets from about seventy archives have been excavated there, mostly from roughly 1950 to 1840 BCE. They cover loans, the costs of a caravan, marriages, wills and letters. A firm in one city tracked money and obligations in another, in writing.

Move to medieval Italy. Francesco Datini returned to Prato in 1382 and founded a holding company of limited companies in Avignon, Florence, Pisa, Genoa, Barcelona, Valencia and Palma de Mallorca. The state archive holds a correspondence of about 150,000 letters, dating from 1361 to 1411. A firm spread over seven cities could only be run from reports sent in writing, which is the same job a sales ops team does with a pipeline report.

The accounting side got a manual in print. Luca Pacioli's Summa appeared in Venice in 1494, and its treatise De computis et scripturis is described by Encyclopedia.com's Dictionary of Scientific Biography entry as the first printed work setting out the "method of Venice." That entry frames it as a record of existing Venetian practice, and the same entry notes the book drew heavily on earlier authors. Pacioli documented double-entry bookkeeping. He did not invent it.

Keep precursor and concept apart. Neither the Ashur merchants, Datini nor Pacioli had a sales operations team. What they establish is the oldest piece of the function: a written record that someone other than the seller can read. The weakness was that records served the owner of the business. Nobody yet used them to measure individual sellers against a target. For how that record-keeping thread turned into customer data, see the history of CRM.

For teams today: the first job of sales ops is not software. It is a record that survives the person who wrote it.

The Patterson Years (1884-1920s)

NCR turns selling into territories, quotas and scripts

The scene is Dayton, Ohio, in 1884. John H. Patterson, then 40, bought a controlling interest in a failing company, and fewer than 400 of its cash registers had ever been sold. The product was new, the market was skeptical and the agents were working for themselves. Dayton's Innovation Legacy records that he paid $6,500 for outright control.

What he built next is the closest thing to a first sales operations system. According to the same Dayton account, NCR's top salesman Joseph H. Crane credited his success to giving every prospect the same carefully sequenced pitch, and Patterson had that talk transcribed in 1887 as the first standardized sales talk. Harvard Business School's library dates the formal Sales Manual to January 1894, combining the Primer with a Book of Arguments. Selling Power says agents got protected territories in exchange for meeting quotas, which ended the habit of agents milking an area and moving on. By 1900, according to Dayton's account, each sales district had a formal quota, and meeting it earned an invitation to the sales convention.

The paperwork spread beyond NCR. Walter Friedman's Birth of a Salesman is summarized by HBS Working Knowledge in terms any ops person would recognize. Sales managers assigned territories and set monthly or weekly quotas, routes were planned and customers evaluated before each trip, and salesmen recorded their activities in sales reports. The same summary reports that about a quarter of the chief executives of the top 200 industrial firms in 1917 had spent part or all of their careers in sales. The Journal of Revenue Operations, in its history of the term, traces the operational roots of sales operations to this early twentieth-century "scientific sales management."

Under Patterson these were management duties, not a department called sales operations. The function existed as a set of duties, not as a named team. The detailed story of the training side is in NCR and the history of sales training, and the territory and quota mechanics are in the history of sales quotas and territories.

What it solved was uniformity: a company could now teach, measure and compare. What it created was the tension every sales ops team still manages. Quotas and territories hold people accountable, and they also invite arguments about fairness, which someone has to settle with data.

For teams today: if the rules for territories and quotas aren't written down and owned by someone who doesn't carry a number, they will be renegotiated by whoever shouts loudest.

The Analyst Years (1900s-1980s)

Tabulators and operations research give sales a model

The scene is a company office with a tabulating machine. IBM's history of its origins says early business adopters of the tabulator included the freight office of the New York Central Railroad and Eastman Kodak, the latter using the machine to keep track of customers and salespeople. It is an early sign that sales records were becoming something a machine could sort.

The more documented shift came from the academy. In December 1971, Leonard Lodish of the University of Pennsylvania published CALLPLAN in Management Science, an interactive computer system that helps salespeople or sales managers allocate call time across accounts and prospects. The paper reports preliminary use by fourteen salespeople in six sales situations. In 1983, Andris Zoltners and Prabhakant Sinha published "Sales Territory Alignment: A Review and Model", which treats territory design as the task of combining small geographic units into larger territories that meet alignment criteria. In 1988, Lodish and colleagues documented how, beginning in 1982, they built models at Syntex Laboratories to decide how large the sales force should be and how to deploy it, reporting a continuing $25 million, or 8%, annual sales increase. Forecasting methods grew in parallel, as told in the history of sales forecasting.

Practitioner accounts often credit Xerox in the 1970s with the first dedicated sales operations team. The published record shows something narrower and still useful: by the 1970s and 1980s, the analytical tasks of sales ops, call planning, territory alignment, sizing and deployment, were being modeled in published research and applied in firms. The Journal of Revenue Operations adds that the academy largely treated this infrastructure as an assumption, not as a function worth studying.

The era solved the "how many reps and where" question with something better than instinct. It left a gap: the models needed clean, shared data, and that data still lived in notebooks.

For teams today: territory and capacity design are old, solvable analytical problems. Treat them as models to be tested, not as annual arguments.

The Software Years (1987-2004)

Customer data moves from the notebook into a shared system

The turning point is the arrival of software sold to sales teams. Francis Buttle and colleagues, in a 2006 review, define sales force automation (SFA) as applying information technology to support selling, and describe software that manages pipelines and tracks contacts. The history of that software, from contact managers to enterprise suites, is told in the history of sales automation.

The enterprise version is documented in a filing. Siebel Systems' annual report for 1996 puts the company's inception in 1993, reports revenue of about $39.2 million, and lists its sales product capabilities as opportunity and account management, product and revenue forecasting, quote generation, with a Territory Manager that assigns leads to representatives. Its Sales Enterprise product is described as "designed to allow teams of sales and marketing professionals to manage sales information." That sentence is a job description for the administrator the software needed. Territories, forecasts and quotes were no longer separate spreadsheets. They were configuration.

The browser changed who could buy it. Salesforce's 2004 prospectus says it was incorporated in Delaware in February 1999 and began offering its on-demand CRM service in February 2000. By April 30, 2004, it reported about 9,800 customers and more than 147,000 paying subscriptions. Anyone could now run a CRM, and every company that did needed someone to administer it: fields, users, reports, integrations. Administration of the system became a job in its own right. The wider CRM arc is in the history of CRM.

What it solved was shared visibility. What it created was dependence on data quality, because a forecast built on stale records fails faster and looks more convincing.

For teams today: the system of record is only as good as the definitions behind it. Decide what each stage means before you decide what each field is called.

The Analytics Years (2004-2018)

Operations turns data into a program, and the label gets crowded

The turning point is analytics as a standing function. In 2004, IBM launched two operations research initiatives to make its global sales force more efficient. The first, OnTARGET, used analytical models to find sales opportunities at existing clients and non-customers, and IBM Software Group rolled it out to more than 13,000 sales representatives. The second, the Market Alignment Program, used field-validated revenue estimates to allocate sales resources across market segments. The authors, writing in Interfaces in January 2010, estimate the combined impact in the hundreds of millions of dollars a year. The model families of the 1970s had become an operating program.

The same period brought management-press attention. Harvard Business Review published "Selling the Sales Force on Automation" by Mark Cotteleer, Edward Inderrieden and Felissa Lee in its July-August 2006 issue, a sign that SFA adoption had become a management problem and not a technology purchase. Salesforce's 2016 launch of Einstein pointed the same way. On September 19, 2016 the company announced predictive lead scoring, opportunity insights and automated activity capture, features that move work from the ops analyst toward the platform.

Meanwhile the neighbors multiplied. Marketing had its own operations staff and the cloud had given each department its own system. In March 2017, according to the Journal of Revenue Operations, Radius published "The Rise of Revenue Ops," one of the earliest cross-functional uses of the term. The longer story of that split is in the history of revenue operations.

What this era solved was scale and evidence. What it left open was the boundary: if sales ops, marketing ops and customer success ops all run on shared data, who owns the number?

For teams today: treat analytics as a program with an owner and a review cadence, not as a report that someone builds once.

The Charter and Agent Years (2019-present)

Sales ops joins a wider revenue team and meets AI

The turning point is a definition. On April 17, 2019, Kate Pierpont of Forrester wrote that revenue operations integrates the operational work of sales, marketing and customer success. The post describes a charter of principles shared among sales operations, marketing operations, sales enablement and customer success. Sales ops was no longer the end of the line. It was one of four functions asked to agree on planning, processes, systems, data and measurement. For where the model goes from here, see RevOps vs sales ops.

Research is catching up slowly. The Journal of Revenue Operations notes that research on the sales operations function itself remains scarce, citing a 2025 paper by Galvan and colleagues. The practice ran well ahead of the study of it.

The newest wave is AI. Salesforce's 2026 State of Sales report, a vendor survey of 4,050 sales professionals fielded in August and September 2025 and published on February 3, 2026, found that 54% of sellers had used AI agents and that 74% of sales professionals were focused on data cleansing. Those findings point to the same old dependency in a new form: the sales ops team is the one that keeps the records an agent will act on. The case for that is made in why sales ops is the highest-ROI use case for AI.

For teams today: the question is no longer whether you have sales ops. It is what the team owns, whether it reports into a broader revenue function, and who is accountable for the data agents will read.

Key People

Key Facts

• Merchants from Ashur left more than 23,000 tablets at Kanesh, mostly dated about 1950 to 1840 BCE.
• When Patterson took over in 1884, fewer than 400 cash registers had ever been sold.
• Lodish's 1971 CALLPLAN was reported in use by fourteen salespeople in six sales situations.
• Siebel's 1996 annual report lists a Territory Manager and revenue forecasting among its sales products.
• By April 30, 2004, Salesforce reported about 9,800 customers and over 147,000 paying subscriptions.
• IBM's OnTARGET reached more than 13,000 sales representatives after its 2004 launch.

The Pattern Behind the History

Our synthesis, not published research. Call it Record, Rule, Model, System:

• Record. Every era starts with a written account someone other than the seller can read, from clay tablets to a CRM.
• Rule. The records are then used to set rules: territories, quotas and scripts, from NCR to today's comp plans.
• Model. Rules are turned into models that test them, from CALLPLAN to IBM's market alignment.
• System. The model is built into software that someone has to administer, and the administrator becomes a function.

What It Teaches Teams Today

• Own the record first. Before tools, decide who owns each account and each field. That is the oldest job in the function.
• Keep rule-setting away from the quota carrier. At NCR, territories and district quotas were assigned by the company, not negotiated by the agents who worked them.
• Model before you argue. Territory, capacity and forecast questions have decades of published method behind them. Use it.
• Distrust origin stories. Dated records beat lore, so treat the Xerox legend as unproven.
• Plan the boundary with your neighbors. Decide whether sales ops stays its own team or joins a broader revenue function.

To see where sales operations sits in the larger story, read the history of sales. For the concept itself, read the sales operations model and sales operations leadership.