CRM by industry · Bakery
A bakery that delivers to shops, cafés, schools or canteens works with many small orders that repeat daily or weekly, each with its own quantities, delivery times and payment terms. A tailored CRM keeps every B2B customer with their delivery schedule, turns the orders into production sheets and routes, and shows you who pays on time and who does not.
A CRM for a bakery keeps every B2B customer (shop, café, restaurant, school, canteen) with their delivery schedule, usual products and payment terms, generates recurring orders automatically, rolls them up into the production sheet for the night shift and the delivery routes for the morning, tracks returns and unpaid invoices and shows you sales by customer and by product. It does not replace the accounting software and does not hold recipes; it handles the customer relationship and the order → production → delivery → payment flow.
A bakery does not have a "lack of leads" problem. It has a problem of small, repetitive orders that have to come out right every single morning:
Shops call or write on Viber between 18:00 and 21:00 to change quantities for tomorrow. Whoever takes the calls writes them on paper, then retypes them for production. One wrong figure means returned bread or an empty shelf.
A long-standing customer says "same as yesterday". If the person who knows what "the usual" means is on holiday, the order is made from memory.
The production sheet is drawn up after the last phone call, and if an extra order comes in at 22:00, the night shift does not see it.
The delivery list is a sheet of addresses; the order of stops, the time each shop opens and who signs for the goods are all in the driver's head.
One shop pays every two weeks, another on delivery, another is permanently late. Without records per customer, the bakery extends credit without meaning to.
A bakery customer's card is closer to a supply contract than to a "deal". What we usually configure:
In a bakery, automation means fewer evening phone calls and less retyping. The ones that actually get used:
For each customer, the CRM creates tomorrow's order from their standard order. The customer or the sales agent only changes it if needed, up to the cut-off time.
The customer writes in Telegram "30 baguettes tomorrow instead of 20"; the message lands on their card and the agent confirms the change with one click. If they write on Viber or call, the agent records it on the card during the conversation, not on paper.
At the set time (for example 21:00), the CRM rolls up all of tomorrow's orders into totals per product and sends them to the head of production in Telegram or by email.
Confirmed orders are grouped by route, with the order of stops and the phone number of the receiving contact; the driver gets the list on their phone and ticks off deliveries or records returns.
A few days before the due date and on the day it is missed, the customer receives a polite message, and the agent gets a task if the delay continues. Nobody delivers "on trust" any more without someone knowing.
Volumes per customer, products with the most returns, customers whose volume is down on last week — so the agent can call before the account is lost.
A B2B bakery first needs channels through which customers can easily change orders, and an export to accounting:
AI does not decide for the agent and never sends anything to production on its own. In a bakery we use it for the dullest part of the evening: it reads messages written in plain language and proposes the order change, which a person confirms with one click. Each function below is switched on separately, depending on the implementation.
Example: an evening message turned into an order change
“Good evening! For tomorrow, at the Ismail street shop, make it 40 white loaves instead of 25, leave the rolls as they are, and no more sweet bread this week. Delivery around 7:00 as usual.”
The agent sees the proposal on the customer record and confirms or corrects it. Only a confirmed order reaches the production sheet at the cut-off time. When a message is ambiguous, the AI flags it for review instead of guessing.
“Add 10 more rolls and drop the sweet bread” becomes a proposed change on the customer record, with products and quantities filled in from your catalogue.
Separates order changes from questions, complaints and personal messages, so the agent handles them in the right order before the cut-off.
A quantity ten times larger than usual, or a product this customer has never taken, is marked for review rather than sent straight to production.
A list written across several lines (“white 40 / rye 20 / rolls 15”) or copied from another program becomes a structured order with the matching products from your catalogue.
The agent dictates a voice note after the call; the text lands on the record and the quantities discussed appear as a proposed change.
From a new enquiry (“coffee shop, 3 locations, croissants daily”) you get a draft with the products and expected volumes; the salesperson sets the price.
A generic CRM is built around a sale that closes once. A bakery sells to the same customer every day, and the value is not in a "deal" but in the standard order, the cut-off time, the route and the balance. In a standard system, those things end up in notes or improvised fields, and the production sheet is still done in Excel. A CRM built for a bakery has the recurring order as its central object, and production and delivery are natural steps, not adapted reports.
Excel is not the wrong choice. For a bakery delivering to five or six shops, where one person takes all the orders, a well-built spreadsheet is enough and cheaper. The comparison below is strictly about the evening and early-morning work in a bakery, not about CRM in general.
| In a bakery | Excel / paper | A customised CRM |
|---|---|---|
| The “usual” order | In the agent's head, or in a column only one person understands | A standard order per customer, varying by weekday, visible to whoever takes the call |
| Evening changes | Written on paper from calls and Viber, then copied out for production | Land on the customer record straight from the message or the call, with no copying out |
| Order cut-off time | Informal: whoever calls later still gets in | Set in the system; after it, the day's orders close automatically |
| Production sheet | Assembled by hand, after the last phone call | Generated from confirmed orders and sent to Telegram at a fixed time |
| Delivery routes | A list of addresses; the driver knows the order of stops | Stops in sequence, with opening time and contact person, on the driver's phone |
| Returns | Noted in the margin of the sheet, if noted at all | Ticked off at delivery, per product and per customer, visible in the report |
| Customer balance | Learned from the accountant at the end of the month | On the record, visible to the agent before confirming the next delivery |
| Customers in decline | Noticed once they have left | Flagged when volume drops against previous weeks |
| When someone is away | The order is rebuilt from memory | Anyone opening the record sees exactly what the customer takes, and when |
| Automation | Formulas and macros tied to whoever wrote them | Rules that run in the evening and the morning without anyone opening a file |
| AI | No | Optional: reads free-text messages and proposes the order change |
The signal is not the number of customers but the number of people who touch the same order. As long as one person takes, writes and checks it, Excel holds. Once there is a second agent, a second route and messages across three channels, the time lost copying things out and the cost of one wrong order overtake the cost of a system.
We do not publish a fixed price, because two bakeries with the same headcount can mean very different projects: one delivers to 8 shops with a single van, another to 60 points across four routes, with different prices per customer. You get the price as a clear quote after a 45–60 minute conversation.
If the conversation shows that a well-structured spreadsheet will serve you for another year, we will say so.
In short, it is the system holding your B2B customers with their standard order, tomorrow's orders, the production sheet and the delivery routes. Unlike inventory software, which tracks goods and stock, a CRM tracks the customer relationship and the order → production → delivery → payment chain.
Not automatically. If one person takes every order and keeps them in their head, a well-structured spreadsheet is enough. It becomes useful when orders pass through several people, arrive across several channels, or when one wrong order costs more than the time it takes to check it.
Inventory software answers “what goods do I have and what do they cost”. A CRM answers “who is the customer, what do they usually take, what did they order for tomorrow, who delivers it and have they paid”. They complement each other: delivered orders are exported from the CRM into the inventory or accounting program.
A standard customised CRM can be implemented in roughly 14 days, depending on integrations and process complexity. For a bakery, most of the time goes into importing customers with their standard orders and into the production and route rules.
No. They can keep calling or writing; those who want to can send changes in Telegram or through a simple form. Anyone who still calls is handled by the agent, who changes the order during the call.
Yes — messaging channels and website forms can be connected, depending on the implementation, so the messages land on the customer record. For a B2B bakery, Telegram and the phone remain the most used; Instagram and Facebook matter more for orders from private customers.
Yes. The standard order is optional; for customers who order weekly or occasionally (events, canteens during holidays) the order is created manually or from a message, and the rest of the flow is the same.
Yes. Each site can have its own routes, production sheet and customers, and the manager sees them either separately or combined. A retail chain, in turn, can hold several delivery points on the same customer record.
It can, but that process is different: design, weight, inscription, allergens, deposit and pick-up time. Because it differs so much from B2B deliveries, we described it separately on the CRM for confectioneries page, in the “Continue with” section.
Yes, optionally. In a bakery the most useful case is the AI reading free-text messages and proposing the order change, which the agent confirms. Nothing reaches production without a person confirming it.
We export the data in a format your accounting software imports (Excel/CSV), daily or monthly. We do not replace the accounting software and do not issue tax invoices from the CRM.
It depends on integrations (telephony, Telegram, accounting), the number of users, the routes and the automations. You receive the price as a clear quote after a 45–60 minute conversation.
We'll show you, on an example with a few B2B customers, how tomorrow's orders are generated, how they reach production and the driver, and what you see in the morning. No commitment.